Manifest Destiny Persuasive Essay Example For Students

Show Destiny Persuasive Essay By: John Doe During the late eighteenth and mid nineteenth hundreds of years the United States saw numerous issues travel every which way. A few issues were a higher priority than others, anyway completely prompted further division of American governmental issues. The most troublesome issue in American governmental issues during this time period was Manifest Destiny, or regional development. Show Destiny was the possibility that it was the United States fate to assume control over all of North America from the Atlantic to the Pacific. The greater part of people in general was agreeable to regional extension, however a few legislators felt it negated the constitution. Exacting constructionists were against regional extension, while free constructionists felt development was the United States predetermination. Exacting constructionists based their foundation on the way that the constitution never legitimately expresses that the national government has the privilege to gain land. Those that see the constitution generously, or free constructionists, counter that remain by asserting the privilege of development falls under the legislatures inferred powers. Free constructionists and severe constructionists are the primary troublesome factor for the United States ideological groups: the democrats and the whigs. One of the supporters of Manifest Destiny was, democrat, James Polk who filled in as president from 1844 to 1848. Polk was unequivocally for growing the United States to the Pacific. This conclusion won him the appointment of 1844. That year Henry Clay, a notable and adored figure in American governmental issues, ran and was required to blow, mostly secret, Polk of the graphs. The main issue was Clay was anxious about regional development. He didn't need was with Mexico and was uncertain of the defendability of extending. Polk won in light of the fact that most of people in general had faith in Manifest Destiny. Alongside affecting presidential races, Manifest Destiny assumed a job in the subjugation issue. Entering the mid eighteen hundreds subjugation was a delicate subject, and a portion of the awful sentiments that caused this affectability were brought about by regional development. With more terrains being gained the quantity of slave state and free state delegates in Congress got unequal. This caused incredible pain among the legislators and agents. For example, free state individuals from Congress started blaming the slave state individuals for connivances. One such allegation was made by Charles Sumner. He proposed the possibility that southerners needed to obtain more land so they could embed subjugation in the domains. With more slave arranged domains that would inevitably became slave expresses, the South would have control of Congress. This is the thing that Sumner called the Slave Power Conspiracy. Subjugation worked up a ton of hard sentiments however the subjection issue was not the most smoking of the issues related with regional extension. War with Mexico and Great Britain stressed a significant number of the individuals who were against extension. James Polk had been chosen when the wars were very nearly breaking out. The expected war with Britain was settled right off the bat in Polk administration. He clearly needed nothing to do with Britains incredible naval force, for he consented to a trade off that gave the United States far less of Oregon than the open needed. The Mexico circumstance was diverse in that Polk didn't have the dread of Mexico that he had of Great Britain. Polk felt a war with Mexico would just demonstrate beneficial for the United States, so he inticed the Mexicans to assault. When Mexico assaulted, Polk guaranteed he needed to shield the United States, for Mexico had an attacked American area. Polk asserted, The cup of self control had been depleted. .. Mexico had passed the limit of the United States, has attacked our domain, and shed American blood upon the American soil. (Tindall 587) Polks unforeseen political race, subjection clashes, and the Mexican war were all issues in American governmental issues during the late eighteenth and mid nineteenth hundreds of years. .u2879c93dcedbacf3a200b24d9dcbd33b , .u2879c93dcedbacf3a200b24d9dcbd33b .postImageUrl , .u2879c93dcedbacf3a200b24d9dcbd33b .focused content region { min-tallness: 80px; position: relative; } .u2879c93dcedbacf3a200b24d9dcbd33b , .u2879c93dcedbacf3a200b24d9dcbd33b:hover , .u2879c93dcedbacf3a200b24d9dcbd33b:visited , .u2879c93dcedbacf3a200b24d9dcbd33b:active { border:0!important; } .u2879c93dcedbacf3a200b24d9dcbd33b .clearfix:after { content: ; show: table; clear: both; } .u2879c93dcedbacf3a200b24d9dcbd33b { show: square; change: foundation shading 250ms; webkit-progress: foundation shading 250ms; width: 100%; haziness: 1; change: darkness 250ms; webkit-progress: obscurity 250ms; foundation shading: #95A5A6; } .u2879c93dcedbacf3a200b24d9dcbd33b:active , .u2879c93dcedbacf3a200b24d9dcbd33b:hover { murkiness: 1; change: mistiness 250ms; webkit-progress: murkiness 250ms; foundation shading: #2C3E50; } .u2879c93dcedbacf3a200b24d9dcbd33b .focused content territory { width: 100%; position: rel ative; } .u2879c93dcedbacf3a200b24d9dcbd33b .ctaText { fringe base: 0 strong #fff; shading: #2980B9; text dimension: 16px; textual style weight: striking; edge: 0; cushioning: 0; text-embellishment: underline; } .u2879c93dcedbacf3a200b24d9dcbd33b .postTitle { shading: #FFFFFF; text dimension: 16px; text style weight: 600; edge: 0; cushioning: 0; width: 100%; } .u2879c93dcedbacf3a200b24d9dcbd33b .ctaButton { foundation shading: #7F8C8D!important; shading: #2980B9; outskirt: none; fringe span: 3px; box-shadow: none; text dimension: 14px; textual style weight: intense; line-stature: 26px; moz-fringe range: 3px; text-adjust: focus; text-improvement: none; text-shadow: none; width: 80px; min-tallness: 80px; foundation: url(https://artscolumbia.org/wp-content/modules/intelly-related-posts/resources/pictures/straightforward arrow.png)no-rehash; position: outright; right: 0; top: 0; } .u2879c93dcedbacf3a200b24d9dcbd33b:hover .ctaButton { foundation shading: #34495E!important; } .u2879c93dce dbacf3a200b24d9dcbd33b .focused content { show: table; stature: 80px; cushioning left: 18px; top: 0; } .u2879c93dcedbacf3a200b24d9dcbd33b-content { show: table-cell; edge: 0; cushioning: 0; cushioning right: 108px; position: relative; vertical-adjust: center; width: 100%; } .u2879c93dcedbacf3a200b24d9dcbd33b:after { content: ; show: square; clear: both; } READ: The Myth of Consumerism Essay Of all the potential clarifications for these issues, regional extension is the main explanation. Manifest Destiny split American legislative issues more than some other factor up to the eighteen fifties. Word Count: 660

The impact of our race and ethnicity on our identity Essay

The effect of our race and ethnicity on our character - Essay Example As Peter Schuck and Rogers Smith contend, American citizenship has never been solely consensual. There has consistently been an interpretive awkwardness between John Locke's individualistic progressivism, which has been the credited theoretical foundation of the American Revolution, and the less-recognized impact of Atlantic republicanism that underlies that of an American domain. Zora Neale Hurston formed into an ardent peruser and a mindful audience, a fanatic of fantasy, legend, and nearby legend. In Eatonville, where everybody is some shade of dark, Zora is the same as any other person. The white individuals she meets in Eatonville contrast from her just to the extent that they don't live there. As Barbara Johnson calls attention to, the Zora of Eatonville vanishes in Jacksonville and turns into a hued young lady. The securing of shading is lost character, Johnson composes. Besides, shading appears not to be fixed yet a component of movement from Eatonville to Jacksonville. Despite the fact that Johnson is expounding fundamentally on How It Feels to Be Colored Me, distributed in 1928, her remarks are similarly substantial for Dust Tracks, since Hurston reuses, overhauling just marginally, huge numbers of similar entries from her prior work. Hurston's feeling of detachment from her warm and safe familial life and her ensuing takeoff from Eatonville to Jacks onville start a lifetime of meandering from and coming back to her foundations. In spite of the fact that Zora comes back to Eatonville after her dad's subsequent marriage, she is always unable to come back to her mom's home; it has become essentially a house. Zora's no holds barred, battle with her stepmother, whom she never excuses for usurping her mom's place, stresses Hurston's dislodging from her home and family. In one sense, be that as it may, her estrangement accelerates her excursion from Eatonville to Washington, D.C., and later to New York City to pick up instruction and a superior life. This excursion echoes that of numerous Negroes who moved from the dark belt of the South toward the North. Hurston's excursion rehashes in a manner the relocation by captives to pick up life and opportunity, trailed by resulting movements made by Blacks to look for some kind of employment in northern production lines and to improve life for themselves and their youngsters. The plot improvement of Hurston's life account, at that point, owes a lot to a dark convention, returning to slave stories and to early dark collections of memoirs. The cost of substance use and maltreatment among dark guys, noted by social researchers since the soonest many years of this century, keeps on waylaying numerous men's battle to viably parent. Longer than 10 years prior, Robert Staples clarified that among dark individuals, maltreatment of the two medications and liquor are a result of an exploitative economy that offers least wages, little work, and an absence of instructive chances. From that point forward, the economy has gotten all the more upsetting for regular workers and poor dark Americans, and these men's records appear to affirm Staples' investigation. For some dark men, he contended, substance use and

Dunkirk Evacuation

Dunkirk Evacuation From May 26 to June 4, 1940, the British sent 222 Royal Navy ships and around 800 regular citizen vessels to empty the British Expeditionary Force (BEF) and other Allied soldiers from the seaport of Dunkirk in France during World War II. Following eight months of inaction during the Phony War, British, French, and Belgian soldiers were immediately overpowered by Nazi Germany’s lightning war strategies when the assault started on May 10, 1940. Instead of be totally destroyed, the BEF chose to withdraw to Dunkirk and trust in departure. Activity Dynamo, the departure of over a quarter million soldiers from Dunkirk, appeared to be a close to unthinkable errand, however the British individuals arranged and at last safeguarded around 198,000 British and 140,000 French and Belgian soldiers. Without the clearing at Dunkirk, World War II would have been lost in 1940. Getting ready to Fight After World War II began on September 3, 1939, there was a time of roughly eight months in which essentially no battling happened; writers considered this the â€Å"Phoney War.† Although conceded eight months to prepare and sustain for a German intrusion, the British, French, and Belgian soldiers were very ill-equipped when the assault really started on May 10, 1940. Some portion of the issue was that while the German Army had been given any expectation of a triumphant and unexpected result in comparison to that of World War I, the Allied soldiers were deadened, certain that channel fighting by and by anticipated them. The Allied pioneers additionally depended intensely on the recently manufactured, cutting edge, cautious strongholds of the Maginot Line, which ran along the French fringe with Germany †excusing the possibility of an assault from the north. Along these lines, rather than preparing, the Allied soldiers invested quite a bit of their energy drinking, pursuing young ladies, and simply trusting that the assault will come. For some BEF fighters, their stay in France felt somewhat like a scaled down get-away, with great food and little to do. This all changed when the Germans assaulted in the early long stretches of May 10, 1940. The French and British soldiers went north to meet the propelling Germany Army in Belgium, not understanding that a huge bit of the German Army (seven Panzer divisions) were slicing through the Ardennes, a lush region that the Allies had thought about impervious. Withdrawing to Dunkirk With the German Army before them in Belgium and coming up behind them from the Ardennes, the Allied soldiers were immediately compelled to withdraw. The French soldiers, now, were in extraordinary confusion. Some had gotten caught inside Belgium while others dispersed. Lacking solid initiative and powerful correspondence, the retreat left the French Army in genuine disorder. The BEF were additionally retreating into France, battling conflicts as they withdrew. Delving in by day and withdrawing around evening time, the British troopers got practically zero rest. Escaping outcasts stopped up the avenues, easing back the movement of military work force and gear. German Stuka jump planes assaulted the two troopers and evacuees, while German officers and tanks sprung up apparently all over the place. The BEF troops regularly got dissipated, yet their confidence remained moderately high. Requests and systems among the Allies were evolving rapidly. The French were asking a pulling together and a counterattack. On May 20, Field Marshal John Gort (leader of the BEF) requested a counterattack at Arras. Albeit at first effective, the assault was not sufficiently able to get through the German line and the BEF was again compelled to withdraw. The French kept on pushing for a pulling together and a counteroffensive. The British, in any case, were beginning to understand that the French and Belgian soldiers were excessively disordered and disheartened to make a sufficient counteroffensive to end the exceptionally compelling German development. Significantly more likely, trusted Gort, was that if the British joined the French and Belgian soldiers, they would all be demolished. On May 25, 1940, Gort settled on the troublesome choice to not just desert the possibility of a joint counteroffensive, however to withdraw to Dunkirk with expectations of a clearing. The French accepted this choice to be renunciation; the British trusted it would permit them to battle one more day. A Little Help From the Germans and the Defenders of Calais Unexpectedly, the departure at Dunkirk couldn't have occurred without the assistance of the Germans. Similarly as the British were pulling together at Dunkirk, the Germans halted their development only 18 miles away. For three days (May 24 to 26), German Army Group B waited. Numerous individuals have recommended that Nazi Fuhrer Adolf Hitler intentionally let the British Army go, accepting that the British would then more promptly arrange an acquiescence. The more probable explanation behind the end was that General Gerd von Runstedt, the authority of German Army Group B, didn’t need to bring his reinforced divisions into the damp territory around Dunkirk. Likewise, the German gracefully lines had gotten incredibly overextended after such a fast and extensive development into France; the German Army expected to stop long enough for their provisions and infantry to make up for lost time. German Army Group A likewise held off assaulting Dunkirk until May 26. Armed force Group A had gotten caught in an attack at Calais, where a little pocket of BEF warriors had stayed. English Prime Minister Winston Churchill accepted the epic resistance of Calais had an immediate connection to the result of the Dunkirk clearing. Calais was the core. Numerous different causes may have forestalled the redemption of Dunkirk, however it is sure that the three days picked up by the safeguard of Calais empowered Gravelines waterline to be held, and that without this, even disregarding Hitler’s instabilities and Rundstedt’s orders, the sum total of what might have been cut off and lost.* The three days that German Army Group B stopped and Army Group A battled at the Siege of Calais were fundamental in permitting the BEF an opportunity to pull together at Dunkirk. On May 27, with the Germans by and by assaulting, Gort requested a 30-mile-long guarded border to be set up around Dunkirk. The British and French officers keeping an eye on this border were accused of keeping the Germans down so as to give time for the clearing. The Evacuation From Dunkirk While the retreat was in progress, Admiral Bertram Ramsey in Dover, Great Britain started thinking about a land and/or water capable departure beginning on May 20, 1940. Eventually, the British had not exactly seven days to design Operation Dynamo, the huge scope departure of British and other Allied soldiers from Dunkirk. The arrangement was to send ships from England over the Channel and have them get troops looking out for the sea shores of Dunkirk. In spite of the fact that there were over a fourth of a million soldiers holding back to be gotten, the organizers expected to just have the option to spare 45,000. Some portion of the trouble was the harbor at Dunkirk. The delicate racking of the sea shore implied that a significant part of the harbor was unreasonably shallow for boats to enter. To explain this, littler art needed to make a trip from boat to sea shore and back again to assemble travelers for stacking. This took a great deal of additional time and there were insufficient little pontoons to satisfy this activity rapidly. The waters were likewise so shallow that even these littler art needed to prevent 300 feet from the waterline and troopers needed to swim out to their shoulders before they could move on board. With insufficient management, numerous edgy fighters obliviously over-burden these little vessels, making them upset. Another issue was that when the main boats set out from England, beginning on May 26, they didn’t truly realize where to go. Troops were spread out more than 21-miles of sea shores close to Dunkirk and the boats were not told where along these sea shores they should stack. This created turmoil and deferral. Flames, smoke, Stuka jump aircraft, and German cannons were certainly another issue. Everything appeared to be ablaze, including vehicles, structures, and an oil terminal. Dark smoke secured the sea shores. Stuka jump aircraft assaulted the sea shores, however concentrated along the waterline, trusting and frequently prevailing with regards to sinking a portion of the boats and other watercraft. The sea shores were huge, with sand rises in the back. Fighters held up in long queues, covering the sea shores. Albeit depleted from long walks and little rest, warriors would dive in while hanging tight in line †it was too noisy to even think about sleeping. Thirst was a significant issue on the sea shores; all the spotless water in the territory had been defiled. Speeding Things Up The stacking of officers into little landing make, shipping them to the bigger boats, and afterward returning to reload was an unbearably moderate procedure. By 12 PM on May 27, just 7,669 men had made it back to England. To speed things up, Captain William Tennant arranged a destroyer to come legitimately close by the East Mole at Dunkirk on May 27. (The East Mole was a 1600-yard-long interstate that was utilized as a sea wall.) Although not worked for it, Tennant’s arrangement to have troops set out legitimately from the East Mole worked brilliantly and from that point on it turned into the principle area for warriors to stack. On May 28, 17,804 fighters were reclaimed to England.  This was an improvement, however many thousands all the more despite everything required sparing. The rearguard was, for the present, holding off the German ambush, yet it involved days, if not hours, before the Germans would get through the guarded line. More assistance was required. In Britain, Ramsey worked enthusiastically to get each and every pontoon imaginable †both military and regular citizen over the Channel to get the abandoned soldiers. This flotilla of boats in the long run included destroyers, minesweepers, hostile to submarine trawlers, speedboats, yachts, ships, dispatches, scows, and some other sort of pontoon they could discover. The first

Measures of central tendency - Free Essay Example

The one single value that reflects the nature and characteristics of the entire given data is called as central value. Central tendency refers to the middle point of a given distribution. It is other wise called as à ¢Ã¢â€š ¬Ã‹Å"measures of location. The nature of this value is such that it always lies between the highest value and the lowest value of that series. In other wards, it lies at the centre or at the middle of the series. CHARACTERISTICS OF A GOOD AVERAGE: Yule and Kendall have pointed out some basic characteristics which an average should satisfy to call it as good average. They are: Average is the easiest method to calculate It should be rigidly defined. This says that, the series of whose average is calculated should have only one interpretation. One interpretation will avoid personal prejudice or bias. It should be representative of the entire series. In other wards, the value should lie between the upper and lower limit of the data. It should have capable of further algebraic treatment. In other wards, an ideal average is one which can be used for further statistical calculations. It should not be affected by the extreme values of the observation or series. DEFINITIONS: Different experts have defined differently to the concept of average. Gupta (2008) in his work has narrated Lawrence J. Kaplan definition as à ¢Ã¢â€š ¬Ã‹Å"one of the most widely used set of summery figures is known as measures of location, which are often referred to as averages, measures of central tendency or central location. The purpose of computing an average value for a set of observation is to obtain a single value which is representative of all the items and which the mind can grasp simply and quickly. The single value is the point of location around which the individual items cluster. This opinion clearly narrates the basic purpose of computing an average. Similarly, Croxton and Cowden define the concept as à ¢Ã¢â€š ¬Ã‹Å"an average is a single value within the range of the data that is used to represent all of the values in the series. Since the average is somewhere within the range of data, it is sometimes called a measure of central value. TYPES OF AVERAGES: Following five are frequently used types of an average or measure of central tendency. They are Arithmetic mean Weighted arithmetic mean Median Mode Geometric Mean and Harmonic Mean All the above five types are discussed below in detail. THE ARITHMETIC MEAN: Arithmetic mean is the most simple and frequently used technique of computing central tendency. The average is also called as mean. It is other wise called as a single number representing a whole data set. It can be computed in a several ways. Commonly it can be computed by dividing the total value by the number of observations. Let à ¢Ã¢â€š ¬Ã‹Å"n be the number of items in a case. Each individual item in a list can be represented in a relationship as x1, x2, x3, ,xn. In this relationship, à ¢Ã¢â€š ¬Ã‹Å"x1 is one value, à ¢Ã¢â€š ¬Ã‹Å"x2 is another value in the series and the value extends upto a particular limit represented by à ¢Ã¢â€š ¬Ã‹Å"xn. The dots in the relationship express that there are some values between the two extremes which are omitted in the relationship. Some people interprets the same relationship as, which can be read as à ¢Ã¢â€š ¬Ã‹Å"x-sub-i, as i runs from 1 upto n. In case the numbers of variable in list is more, then it requires a long space for deriving the mean. Thus the summation notation is used to describe the entire relationship. The above relationship can be derived with the help of summation as: , representing the sum of the à ¢Ã¢â€š ¬Ã‹Å"x values, using the index à ¢Ã¢â€š ¬Ã‹Å"i to enumerate from the starting value i =1 to the ending value i = n. thus we have and the average can be represented as The symbol à ¢Ã¢â€š ¬Ã‹Å"i is again nothing but a continuing covariance. The readers should not be confused while using the notation , rather they can also use or or any other similar notation which are of same meaning. The mean of a series can be calculated in a number of ways. Following are some basic ways that are commonly used in researchers related to management and social sciences, particularly by the beginners. However, the readers should not be confused on sample mean and population mean. A sample of a population of à ¢Ã¢â€š ¬Ã‹Å"n observations and the mean of sample is denoted by à ¢Ã¢â€š ¬Ã‹Å". Where as when one measure the population mean i.e., the entire variables of a study than the mean is represented by the symbol à ¢Ã¢â€š ¬Ã‹Å" µ, which is pronounced as à ¢Ã¢â€š ¬Ã‹Å"mue and is derived from the Greek letter à ¢Ã¢â€š ¬Ã‹Å"mu. Below we are discussing the concepts of sample mean. Type-1: In case of individual observation: a. Direct method- Mean or average can be calculated directly in the following way Step-1: First of all the researcher has to add all the observations of a given series. The observations are x1, x2, x3, xn. Step-2- Count how many observations are their in that series (n) Step-3- the following procedure than adopted to get the average. Thus the average or mean denoted as à ¢Ã¢â€š ¬Ã‹Å"and can be read as à ¢Ã¢â€š ¬Ã‹Å"x bar is derives as: Thus it can be said that the average mark of the final contestants in the quiz competition is 67.6 marks which can be rounded over to 70 marks. b. Short-cut method- The average or mean can also be calculated by using short-cut method. This method is applicable when a particular series is having so many observations. In other wards, to reduce calculations this method is generally used. The steps of calculating mean by this method is as follows: i. The research has to assume any one value from the entire series. This value is called as assumed value. Let this value be denoted here as à ¢Ã¢â€š ¬Ã‹Å"P. ii. Differentiate each a value from this assumed vale. That is find out individual values of each observation. Let this difference value be denoted as à ¢Ã¢â€š ¬Ã‹Å"B. Hence B=xn-P where n= 1,2,3,n. iii. Add all the difference value or get sum of B and count the number of observation à ¢Ã¢â€š ¬Ã‹Å"n. iv. Putting the values in the following formula and get the value of mean. Type-2: In case of discrete observations or series of data: Discrete series are the variables whose values can be identified and isolated. In such a case the variant is a whole number, but is form frequency distribution. The data set derived in case-1 above is called as ungrouped data. The computations in case of these data are not difficult. Where as, if the data set is having frequencies are called as groped data. a. Direct method: Following are some steps of calculating mean by using the direct method i. In the first step, the values of each row (X) are to be multiplied by its respective frequencies (f). ii. Calculate the sum of the frequencies (column-2 in our example) at the end of the column denoted as iii. Calculate the sum of the X*f values at the end of the column (column-3 in our below derived example) denoted as iv. Mean () can be calculated by using the formula b. Short cut method: Arithmetic mean can also be calculated by using the short cut method or assumed mean method. This method is generally used by the researchers to avoid the time requirements and calculation complexities. Following are the steps of calculating mean by this method. i. The first step is to assume a value from the à ¢Ã¢â€š ¬Ã‹Å"X values of the series (denoted as A= assumed value) ii. In this step in another column we have to calculate the deviation value (denoted as D) of à ¢Ã¢â€š ¬Ã‹Å"X to that of assumed value (A) i.e., D = X-A iii. Multiply each D with f i.e., find our Df iv. Calculate the value of sum of at the end of respective columns. v. Mean can be calculated by using the formula as Type-3: In case of continuous observations or series of data: Another type of frequency distributions is there which consists of data that are grouped by classes. In such case each value of an observation falls somewhere in one of the classes. Calculation of arithmetic mean in case of grouped data is some what different from that of ungrouped data. To find out the arithmetic mean of continuous series, one has to calculate the midpoint of each class interval. To make midpoints come out in whole cents, one has to round up the value. Mean in continuous series can be calculated in two ways as derived below: a. Direct method: In this method, mean can be calculated by using the steps as i. First step is to calculate the mid point of each class interval. The mid point is denoted by à ¢Ã¢â€š ¬Ã‹Å"m and can be calculated as . ii. Multiply the mid points of each class interval (m) with its respective frequencies (f) i.e., find out mf iii. Calculate the value of sum of at the end of respective columns. iv. Mean can be calculated by using the formula as b. Short cut method: Mean can also be calculated by using short cut method. Following are the steps to calculate mean by this method. i. First step is to calculate the mid point of each class interval. The mid point is denoted by à ¢Ã¢â€š ¬Ã‹Å"m and can be calculated as . ii. Assume a value from the à ¢Ã¢â€š ¬Ã‹Å"m values of the series (denoted as A= assumed value) iii. In this step in another column we have to calculate the deviation value (denoted as D) of à ¢Ã¢â€š ¬Ã‹Å"m to that of assumed value (A) i.e., D = m A iv. Multiply each D with f i.e., find our Df v. Calculate the value of sum of at the end of respective columns. vi. Put the values in the following formula to get mean of the series THE WEIGHTED ARITHMETIC MEAN: In real life situation in management studies and social sciences, some items need more importance than that of the other items of that series. Hence, importance assigned to different items with the help of numerical value as per the priority basis in a series as called as weights. The arithmetic mean on the other hand, gives equal weightage or importance to each observation of the series. In such a case, the weighted mean acts as the most important tool for studying the behaviour of the entire set of study. Here use of weighted mean is the only measure of central tendency for getting correct and accurate result. Following is the procedures of computing mean of a weighted series. By the way, an important problem that arises while using weighted mean is regarding selection of weights. Weights may be either actual or arbitrary, i.e., estimated. The researcher will not face any difficulty, if the actual weights are assigned to the set of data. But in case, if actual data is not assigned than it is advisable to assign arbitrary or imaginary weights. Following are some steps of calculating weighted mean: i. In the first step, the values of each row (X) are to be multiplied by its respective weights (W) ii. Calculate the sum of the weights (column-2 in our example) at the end of the column denoted as iii. Calculate the sum of the X*W values at the end of the column (column-3 in our below derived example) denoted as iv. Mean () can be calculated by using the formula Advantages of Arithmetic mean: Following are some advantages of arithmetic mean. i. The concept is more familiar concept among the people. It is unique because each data set has only one mean. ii. It is very easy to compute and requires fewer calculations. As every data set has a mean, hence, as a measure mean can be calculated. iii. Mean represents a single value to the entire data set. Thus easily one can interpret a data set its characteristics. iv. An average can be calculated of any type of series. Disadvantages of Arithmetic mean: The disadvantages are as follows. i. One of the greatest disadvantages of average is that it is mostly affected by the extreme values. For example let consider Sachin Tendulkars score in last three matches. Let it be, 100 in first match, 2 in second match and 10 in third match. The average score of these three matches will me 100+2+10/3=37. Thus it implies that Tendulkars average score is 37 which is not correct. Hence lead to wrong conclusion. ii. It is not possible to compute mean for a data set that has open-ended classes at either the high or low end of the scale. iii. The arithmetic average sometimes gives such value which cannot be found from the data series from which it is calculated. iv. It is unrealistic. v. It cannot be identified observation or graphic method of representing the data and interpretation. THE MEDIAN: Another one technique to measure central tendency of a series of observation is the median. Median is generally that value of the entire series which divides the entire series into two equal parts from the middle. In other wards, it is the exactly middle value of the series. Hence, fifty percent of the observations in the series are above the median value and other fifty or half observations are remains below the median value. However, if the series are having odd numbers of observations like 3,5,7,9,11,13 etc., then the median value will be equal to one of the exact value from the series. On the other hand, if the series is having even observations, then median value can be calculated by getting the arithmetic mean of the two middle values of the observations of the series. Median an a technique of measuring central tendency can be best used in cases where the problem sought for more qualitative or psychological in nature such as health, intelligence, satisfaction etc. Definitions: The concept of median can be clearer from the definitions derived below. Connor defined it as à ¢Ã¢â€š ¬Ã‹Å"the median is the value which divides the distribution into two equal parts, one part comprising all values greater, and the other values less than the median. Where as Croxton and Cowden defined it as à ¢Ã¢â€š ¬Ã‹Å"the median is that value which divides a series so that one half or more of the items are equal to or less than it and one half or more of the items are equal to or greater than it. Median can be computed in three different series separately. All the cases are discussed separately below. Computation of Median in Individual Series Computation of Median in Discrete Series and Computation of Median in Continuous Series Computation of Median in Individual Series: Following are some steps to calculate the median in individual series. The first and the most important requirement is that the data should be arranged in an ascending (increasing) or descending (decreasing) order. Than the median value can be calculated by using the formula th value or item from the series. Where, N= Number of observation in that series. When N is odd number (like 5, 7,9,11,13 etc.) median value is one of the item within that series, but in case N will be a even number than median is the arithmetic mean of the two middle value after applying the above formula. The following problem can make the concept clear. Computation of Median in Discrete Series: Discrete series are those where the data set is assigned with frequencies or repetitions. Following are the steps of computing the median when the series is discrete. The first and the most important requirement is that the data should be arranged in an ascending (increasing) or descending (decreasing) order. In the third column of the table, calculate the cumulative frequencies. Than the median class can be calculated by using the formula th value or item from the cumulative frequencies of the series. Computation of Median in Continuous Series: Continuous series are the series of data where the data ranges are in class intervals. Each class is having an upper limit and a lower limit. In such cases the computation of median is little bit different from that of the other two cases discussed above. Following are some steps to get median in continuous series of data. The first and the most important requirement is that the data should be arranged in an ascending (increasing) or descending (decreasing) order. In the third column of the table, calculate the cumulative frequencies. Than the median class can be calculated by using the formula th value or item from the cumulative frequencies column of the series. Form the cumulative frequencies, one can get the median class i.e., in which class the value lies. This class is called as median class and one can get the lower value of the class and the upper value of the class. The following formula can be used to calculate the median We have to get the median class first. For this, median class is N/2 th value or 70/2= 35. The value 35 lies in the third row of the table against the class 30-40. Thus 30-40 is the median class and it shows that the median value lies in this class only. After getting the median class, to get the median value we have to apply the formula . Advantages of Median: Median as a measure of central tendency has following advantages of its own. It is very simple and can be easily understood. It is very easy to calculate and interpret. It Includes all the observations while calculation. Like that of arithmetic mean, median is not affected by the extreme values of the observation. It has the advantages for using further analysis. It can even used to calculate for open ended distribution. Disadvantages of Median: Median as a means to calculate central tendency is also not free from draw backs. Following are some important draw backs that are leveled against median. Median is not a widely measure to calculate central tendency like that of arithmetic mean and also mode. It is not based on algebraic treatment. THE MODE: Mode is defined as the value which occurs most often in the series or other wise called as the value having the highest frequencies. It is, hence, the value which has maximum concentration around it. Like that of median, mode is also more useful in case of qualitative data analysis. It can be used in problems generally having the discrete series of data and particularly, problems involving the expression of psychological determinants. Definitions: The concept of mode can be clearer from the definitions derived below. Croxten and Cowden defined it as à ¢Ã¢â€š ¬Ã‹Å"the mode of a distribution is the value at the point around which the items tend to be most heavily concentrated. It may be regarded as the most typical of a series of value. Similarly, in the words of Prof. Kenny à ¢Ã¢â€š ¬Ã‹Å"the value of the variable which occurs most frequently in a distribution is called the mode. Mode can be computed in three different series separately. All the cases are discussed separately below. Computation of Mode in Individual Series Computation of Mode in Discrete Series and Computation of Mode in Continuous Series Computation of Mode in Individual Series: Calculation of mode in individual series is very easy. The data is to be arranged in a sequential order and that value which occurs maximum times in that series is the value mode. The following example will make the concept clear. Computation of Mode in Discrete Series: Discrete series are those where the data set is assigned with frequencies or repetitions. Hence directly, mode will be that value which is having maximum frequency. By the way, for accuracy in calculation, there is a method called as groping method which is frequently used for calculating mode. Following is the illustration to calculate mode of a series by using grouping method. Consider the following data set and calculate mode by using the grouping method. The calculation carried out in different steps is derived as: Step-1: Sum of two frequencies including the first one i.e., 1+2=3, then 4+3=7, then 2+1=3 etc. Step-2: Sum of two frequencies excluding the first one i.e., 2+4=7, then 3+2=5, then 1+2=3 etc. Step-3: Sum of three frequencies including the first one i.e., 1+2+4=7, then 3+2+1=6 etc. Step-4: Sum of two frequencies excluding the first one i.e., 2+4+3=9, then 2+1+2=5 etc. Step-5: Sum of three frequencies excluding the first and second i.e., 4+3+2=9, then 1+2+1=4. Computation of Mode in Continuous Series: As already discussed, continuous series are the series of data where the data ranges are in class intervals. Each class is having an upper limit and a lower limit. In such cases the computation of mode is little bit different from that of the other two cases discussed above. Following are some steps to get mode in continuous series of data. Select the mode class. A mode class can be selected by selecting the highest frequency size. Mode value can be calculated by using the following formula Advantages of Mode: Following are some important advantages of mode as a measure of central tendency. It is easy to calculate and easy to understand. It eliminates the impact of extreme values. It is easy to locate and in some cases we can estimate mode by mere inspection. It is not affected by extreme values. Disadvantages of Mode: Following are some important disadvantages of mode. It is not suitable for further mathematical treatment. It may lead to a wrong conclusion. Some critiques criticized mode by saying that mode is influenced by length of the class interval. THE GEOMETRIC MEAN: Geometric mean, as another measure of central tendency is very much useful in social science and business related problems. It is an average which is most suitable when large weights have to be assigned to small values of observations and small weights to large values of observation. Geometric mean best suits to the problems where a particular situation changes over time in percentage terms. Hence it is basically used to find the average percent increase or decrease in sales, production, population etc. Again it is also considered to be the best average in the construction of index numbers. Geometric mean is defined as the Nth root of the product where there are N observations of a given series of data. For example, if a series is having only two observations then N will be two or we will take square root of the observations. Similarly, when series is having three observations then we have to take cube root and the process will continue like wise. Geometric mean can be calculated separately for two sets of data. Both are discussed below. When the data is ungrouped: In case of ungrouped series of observations, GM can be calculated by using the following formula: where X1 , X2 , X3, XN various observations of a series and N is the Nth observation of the data. But it is very difficult to calculate GM by using the above formula. Hence the above formula needs to be simplified. To simplify the formula, both side of the above formula is to be taken logarithms. To calculate the G.M. of an ungrouped data, following steps are to be adopted. Take the log of individual observations i.e., calculate log X. Make the sum of all log X values i.e., calculate Then use the above formula to calculate the G.M. of the series. When the data is grouped: Calculation of geometric mean in case of grouped data is little bit different from that of calculation of G.M. in case of ungrouped series. Following are some steps to calculate the G.M. in case of grouped data series. To calculate the G.M. of a grouped data, following steps are to be adopted. Take the mid point of the continuous series. Take the log of mid points i.e., calculate log X and it can also be denoted as log m Make the sum of all log X values i.e., calculate or Then use the following formula to calculate the G.M. of the series. Advantages of G.M.: Following are some advantages of G.M. i. One of the greatest advantages of G.M. is that it can be possible for further algebraic treatment i.e., combined G.M., can be calculated when there is availability of G.M., of two or more series along with their corresponding number of observations. ii. It is a very useful method of getting average when the series of observation possess rates of growth i.e., increase or decrease over a period of time. iii. Since it is useful in averaging ratios and percentages, hence, are more useful in social science and business related problems. Disadvantages of G.M.: G.M., as a technique of calculating central value is also not free from defects. Following are some disadvantages of G.M. i. It is very difficult to calculate the value of log and antilog and hence, compared to other methods of central tendency, G.M., is very difficult to compute. ii. The greatest disadvantage of G.M., is that it cannot be used when the series is having both negative or positive observations and observations having more zero values. THE HARMONIC MEAN: The last technique of getting the central tendency of a series of data is the Harmonic mean (H.M.). Harmonic mean, like the other methods of central tendency is not clearly defined. It is the reciprocal of the arithmetic mean of the reciprocal of the individual observations. H.M., is very much useful in those cases of observations where the nature of data is such that it express the average rate of growth of any events. For example, the average rate of increase of sales or profits, the average speed of a train or bus or a journey can be completed etc. Following is the general formula to calculate H.M.: When the data is ungrouped: When the observations of the series are ungrouped, H.M., can be calculated as: The step for calculating H.M., of ungrouped data by using the derived formula is very simple. In such a case, one has to find out the values of 1/X and then sum of 1/X. When the data is grouped: In case of grouped data, the formula for calculating H.M., is discussed as below: Take the mid point of the continuous series. Calculate 1/X and it can also be denoted as 1/m Make the sum of all 1/X values i.e., calculate Then use the following formula to calculate the H.M. of the series. Advantages of H.M.: Harmonic mean as a measure of central tendency is having following advantages. i. Harmonic mean considers each and every observation of the series. ii. It is simple to compute when compared to G.M. iii. It is very useful for averaging rates. Disadvantages of H.M.: Following are some disadvantages of H.M. i. It is rarely used as a technique of measuring central tendency. ii. It is not defined clearly like that of other techniques of measuring central value mean, median and mode. iii. Like that of G.M., H.M., cannot be used when the series is having both negative or positive observations and observations having more zero values. CONCLUSION: An average is a single value representing a group of values. Each type of averages has their own advantages and disadvantages and hence, they are having their own usefulness. But it is always confusing among the researchers that which average is the best among the five different techniques that we have discussed above? The answer to this question is very simple and says that no single average can be considered as best for all types of data. However, experts opine two considerations that the researchers must be kept in mind while going for selecting a technique to determine the average. The first consideration is that of determining the nature of data. If the data is more skewed it is better to avoid arithmetic mean, if the data is having gap around the middle value of the series, then median should be avoided and on the other hand, if the nature of series is such that they are unequal in class-intervals, then mode is to be avoided. The second consideration is on the type of value req uired. When there is need of composite average of all absolute or relative values, then arithmetic mean or geometric mean is to be selected, in case the researcher is in need of a middle value of the series, then median may be the best choice, but in case the most common value is needed, then will not be any alternative except mode. Similarly, Harmonic mean is useful in averaging ratios and percentages. SUMMERY: 1. Different experts have defined differently to the concept of average. 2. Arithmetic mean is the most simple and frequently used technique of computing central tendency. The average is also called as mean. It is other wise called as a single number representing a whole data set. 3. The best use of arithmetic mean is at the time of correcting some wrong entered data. For example in a group of 10 students, scoring an average of 60 marks, in a paper it was wrongly marked 70 instead of 65. the solution in such a cases is derived below: 4. In such a case, the weighted mean acts as the most important tool for studying the behaviour of the entire set of study. Here use of weighted mean is the only measure of central tendency for getting correct and accurate result. 5. Median is generally that value of the entire series which divides the entire series into two equal parts from the middle. 6. Mode is defined as the value which occurs most often in the series or other wise called as the value having the highest frequencies. It is, hence, the value which has maximum concentration around it. 7. Geometric mean is defined as the Nth root of the product where there are N observations of a given series of data. 8. Harmonic mean is the reciprocal of the arithmetic mean of the reciprocal of the individual observations. QUESTIONS: 1. In a class containing 90 students following heights (in inches) has been observed. Based on the data calculate the mean, median and mode of the class. 2. In a physical test camp meant for selection of army solders the following heights of the candidates have been observed. Find the mean, median and mode of the distribution. 3. From the distribution derived below, calculate mean and standard deviation of the series. 4. The following table derives the marks obtained in Indian Economy paper by 90 students in a class. Calculate the mean, median and mode of the following distribution. 5. The monthly profits of 180 shop keepers selling different commodities in a city footpath is derived below. Calculate the mean and median of the distribution. 6. The daily wage of 130 labourers working in a cotton mill in Ahmadabad cith is derived below. Calculate the mean, median and mode. 7. There is always controversy before the BCCI before selection of batsmen between Rahul Dravid and V.V.S. Laxman. Runs of 10 test matches of both the players are given below. Suggest who the better run getter is and who the consistent player is. 8. Calculate the mean, median and mode of the following distribution. 9. What do you mean by measure of central tendency? How far it helpful to a decision-maker in the process of decision making? 10. Define measure of central tendency? What are the basic criteria of a good average? 11. What do you mean by measure of central tendency? Compare and contrast arithmetic mean, median and mode by pointing out the advantages and disadvantages. 12. The expenditure on purchase of snacks by a group of hosteller per week is give below. Calculate the mean, median and mode of the series. 13. The mean, median and mode of a group of 85 persons were calculated as 28, 31 and 36 respectively. It was later found that while calculating these values, one value was wrongly calculated as 46 instead of the correct value 56. What will be the effect on the correction of this value on the observation? 14. Mr Sachdeva has been heading the computer department of an organization since last 7 years. Following are the year wise expenditure in Rupee for 17 years that has been spent for the maintenance of the computers. 15. Yesh Travels Limited, a travel agent is having 20 cars which are used as taxi in Greater Noida of Uttar Pradesh. The owner of the Travel agent in a surprise check asked the manager the weekly mileage records of all the 20 cars. Being the owner of the travel agent, calculate: (a) the median miles of a car traveled during the week, (b) mean mileage of the cars 16. Delhi Transport Corporation (DTC) is in news since last three months because of repeated cases of fire in its low line buses that is running from different destinations in Delhi city. The high level committee set up of by the chief minister of Delhi is in the process of investigation about the cause of the fire in buses. One of the important causes that the driver of a bus explained is the excessive speed of the buses. It is estimated that in all the routes that the buses are running requires 45 minutes. The sample data derived below shows the arrival time that had taken by some buses to their destination. Conclude from the data the reality. 17. The ages of the students pursuing their master degree in a class is given by following distribution. Estimate the modal value. 18. Calculate the arithmetic mean of the following set of data by using (a) direct method and (b) short-cut method: 19. Following is the daily wage structure of some employees who are working in M/s. Ansul Food Process on daily basis. Calculate the arithmetic mean by using (a) direct method and (b) short-cut method. 20. A candidate has attended three papers like Indian Economics (IE), Statistics (S) and econometrics (E) to clear his M.Phil degree. In each subject he has to appear a oral tests of 40 marks and written test of 60 marks. He secured 25, 21 and 18 marks in oral tests and 52, 35 and 31 marks in written tests in subjects IE, S and E respectively. You have to calculate the weighted average of marks obtained in written test taking the weights percentage of marks obtained in corresponding oral test. 21. A candidate has obtained the following percentage of marks in an examination: Business Law 65, Statistics for Managers 70, Managerial Economics 62, Business Communication 55 and Organisation Behaviour 58. The weights allocated to each subject are as 4, 1, 2, 3, and 3 respectively. Calculate the weighted mean. 22. Tata Motors Limited wanted to offer a cash gift of 7 per cent on the number of cars sold by its sales managers in Northern region of India. Calculate the mode and the median taking the average value. 23. Obtain the median and mode from the following records of a school. 24. Calculate the mean and median of the following data series: 25. Following is the temperature that is maintained in a cold storage in different seasons to preserve the vegetables. Calculate the mean and mode of the series. 26. Find the median from the following data: 27. The distribution of 2000 houses of a locality according to their distance from a petrol pump is given in the following table: 28. A housewife saves Rs. 1/- on the first day, Rs. 2/- on the second day, Rs. 3/- on third day and Rs. 31/- on the 31st day in a particular month. Calculate the mean and median of per day savings. In the amount, her husband contributes Rs. 100 on the 32nd day and Rs. 600/- on the 33rd day. Calculate the new mean and median of savings per day. 29. Compute the mode value of the following data: 30.Calculate the modal value of the following distribution. 31. The distribution of the marks obtained by 70 students of a class in a class is given below: 32. The average rainfall for a week, excluding Sunday, was 12 cms. Sunday was observed heavy rainfall for which when Sunday was included on the other days the average rose to 18 cms. Get how much rainfall was on Sunday? 33. The mean age of the combined group of men and women is 31.5 years. If the mean age of the sub-group of men is 36 years and that of the sub-group of women is 24 years, find out percentage of men and women in the group. 34. The arithmetic mean of 60 items of a series was estimated by an entrepreneur as 22. However, it was latter calculated by the auditor that an item 26 was wrongly calculated as 62. Calculate the correct mean. 35. The sales of a street ice cream seller on seven days of a week during summer season are given below. If the profit is 15% of the sales, find his average profits per day. 36.Calculate the mode of the following data: 37. Calculate the mode of the following distribution: 38. The distribution derived below reveals monthly expenditure on food items incurred by a sample of 135 families in Jalbau Bihar, a residential colony at Greater Noida. Calculate the modal value of the distribution. 39. Calculate the geometric mean of the following data: 40. A distribution is derived below. Calculate the geometric mean. 41. Calculate the geometric mean of the following distribution: 42. In between the years 2005-2009, precious metals changes rapidly in their value in the market. The total rate of return (in %) data is derived in the table below: Calculate the geometric mean of Gold, Diamond and Silver. What conclusions can one draw out of the above result? 43. The data derived below represents the battery life (in minutes) for mobile phones of different brand available in the market. Calculate the mean and median of the series. Calculate the mean deviation, standard deviation.

Book Summary of John H. Walton, Ancient Near Eastern...

John H. Walton’s Ancient Near Eastern Thought and the Old Testament: Introducing the Conceptual World of the Hebrew Bible is broken up into fourteen chapters. Those fourteen chapters are each part of one of five sections. This book also contains over twenty historical images. Before the introduction, the author gives readers a full appendix of all images used in this published work. The author then gives his acknowledgements followed by a list of abbreviations. Part 1- Comparative studies The first section of the book is titled comparative studies. This section is comprised of the first two chapters. Chapter one is aptly named history and methods. Chapter two has been dubbed comparative studies, scholarship, and theology. This section†¦show more content†¦Through colloquialisms, interpretations are often lost. Another anomaly is that words change definition over time, and depending on the culture, the same words may have a completely different meaning. For instance, prior to 1950, the word gay simply meant happy. Today, it refers to homosexuality. Sometimes words can even have different meaning among subcultures of the same society. In the American Caucasian culture, the word â€Å"punk† generally refers to someone who likes rock music and may have a colorful Mohawk. In African American culture, the word punk has shifted over time to mean a feminine male. Understanding the culture of the original authors of the Bible will gi ve believers a deeper understanding of the Word. From here chapter 1 expounds on these ideas more deeply. It finally draws to a close by listing the ten principles of a comparative study. After giving this information, Walton explains the goals of a comparative study. Chapter 2- Comparative studies, scholarship, and theology The conclusion to chapter 1 facilitated the introduction of chapter 2. This chapter is titled Comparative Studies, Scholarship, and Theology. As the name implies, this is exactly what is covered in this new chapter. This chapter is still under the scope of the first part of the book titled Comparative Studies. In his introduction Walton explains how the science of comparative studies has taken on two completely different faces. Again this goes backShow MoreRelatedAncient Eastern Thought and the Old Testament Essay10692 Words   |  43 PagesLIBERTY UNIVERSITY THE BIBLE AMONG THE MYTHS JOHN, N. OSWALT A SUMMARY PAPER OF THE TEXT ANCIENT NEAR EASTERN THOUGHT AND THE OLD TESTAMENT SUBMITTED TO DR. RANDY G. HANEY DEPARTMENT OF THEOLOGY BY 03 MARCH 2013 Table of Contents CHAPTER 1: HISTORY AND METHODS 3 CHAPTER 2: COMPARATIVE STUDIES, SCHOLARSHIP, AND THEOLOGY 6 CHAPTER 3: SUMMARY OF THE LITERATURE OF THE ANCIENT NEAR EAST 10 CHAPTER 4: THE GODS 14 CHAPTER 5: TEMPLES AND RITUALS 19 CHAPTER 6: STATE AND FAMILYRead MoreOld Testament Survey9880 Words   |  40 PagesBOOK SUMMARY: ANCIENT NEAR EASTERN THOUGHT AND THE OLD TESTAMENT BY JOHN H. WALTON Old Testament Introduction OBST 510 May 4, 2014 Part 1 – Comparative Studies Chapter 1: History and Methods History: Walton begins the chapter with the â€Å"rediscovery of Egypt which began in the eighteenth century AD and of Mesopotamia in the mid nineteenth century AD.† There were discoveries of tens of thousands of texts that were excavated, translated and studied. Many of these tablets and texts did coincideRead MoreExploring Corporate Strategy - Case164366 Words   |  658 PagesECS8C_C01.qxd 22/10/2007 11:54 Page 597 CASE STUDIES ECS8C_C01.qxd 22/10/2007 11:54 Page 598 ECS8C_C01.qxd 22/10/2007 11:54 Page 599 Guide to using the case studies The main text of this book includes 87 short illustrations and 15 case examples which have been chosen to enlarge speciï ¬ c issues in the text and/or provide practical examples of how business and public sector organisations are managing strategic issues. The case studies which follow allow the

Why Switch to Led Lights Essay Sample free essay sample

Highly energy efficient. devouring up to 90 % less power than incandescent or halogen bulbs and up to 50 % less than fluorescent or CFL. * less heat emanation. hence lading on air conditioners is decreased ensuing in farther electricity nest eggs. * long life span therefore cut downing care and lamp replacing costs and lower long-run operating costs. * environmentally friendly as they do non incorporate toxic quicksilver or any other risky stuffs. Second. wth the decrease in electricity use. less coal demand to be burned in coal-burning power workss to provide that electricity. This consequence in less C dioxide ( a nursery gas ) . sulfur dioxide. azotic oxides. and quicksilver being emitted to the environment. As a consequence. installing of LEDs leads to less pollution and a lower C footmark. * light up immediately without wavering. No warm-up period required. When turned on. they are at full brightness. * Life span unaffected by frequent turning on and off. No UV radiation hence ideal for reflecting on â€Å"heat and light sensitive† ware such as tickers. We will write a custom essay sample on Why Switch to Led Lights Essay Sample or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page jewelry. leather goods. old-timers and graphics. Besides prevent premature aging of tegument due to uv exposure. * do non pull winging insects as insects are drawn to UV visible radiation. * directional and concentrate visible radiation in the countries required hence reduces light wastage. * safer as there are no delicate fibrils to interrupt. They are usually assembled in aluminum and plastic. alternatively of glass shell. doing them more robust and shockproof. Even when they are broken. they do non shatter into pieces like glass or emit harmful gas. * Although LED light bulbs cost more than traditional visible radiation bulbs. they are much cheaper to run and last much longer. therefore saves money in the long tally. Furthermore all our merchandises come with guarantee runing from a few months to a few old ages. The energy efficiency and environmental benefits translate into fiscal nest eggs for you and a cleaner environment for everyone.

Argumentative Essay Examples

Argumentative Essay ExamplesArgumentative essay examples are an important resource for those writing academic papers. These samples can be used in an entire class or in one particular section of the paper. Writing is always subjective and these samples show what can happen when you incorporate specific parts of that essay into your own. The following examples are based on works of fictional works, but they can be applied to real life issues with an argumentative essay example.A popular example from a book review essay is to place a short story in an essay or thesis statement and use the first person narration. This author's work has been reprinted in several collections and it is a good example of this type of essay.Another example is to use the first person and use other people's opinions in the essay as a way to support your arguments. For example, a teenager who is asking for his or her allowance wants to know if they can be friends. It is impossible to change that opinion because a friendship is just that. For this reason, he or she will often write arguments to support their argumentative essay samples.Argumentative essay examples in this type of work are usually about a specific situation or event. In some cases, they use the first person narration because they want to write about a past experience or present experience.When these argumentative essay examples are not used correctly, it can backfire and make the reader question the tone of the essay. Using examples with descriptive or controversial words or phrasing is acceptable in arguments. Using them as a broad summary is not.Arguments are also used to create an outline for a future essay. The basic structure of this work is a collection of opinions and stories. Some authors feel this type of essay requires fewer guidelines because it does not require complete knowledge of a single topic.This form of essay allows for different writers to get specific details out of each sentence without using an entire paragraph to do so. To use this type of argumentative essay example in this work, the writer writes and supplies facts and information to support their arguments. At the end of the essay, they summarize what the reader wants to know and to summarize their points, they write a few paragraphs summarizing the research information or personal experiences that support their arguments.Argumentative essay examples are a great way to practice writing for students. It is important to keep the content based on historical, sociological, and real world examples. By learning how to use this type of essay, a student can confidently write an argumentative essay that will have more success at making a reader understand their ideas.