Benjamin Franklin: An Inspirational Self-Made Man Essay -- American Hi

Benjamin Franklin is one of the most influential and famous figures of all time. Ben Franklin if often referred to as the "self-made man," and his philosophies and principles in the Autobiography of Benjamin Franklin, edited by Louis P. Masur, has served as a self-help book for millions around the world. Franklin's Autobiography is a prime example of the American dream, a rag to riches story that has inspired many people to think of themselves and the community in a different light. Franklin's moral and social philosophies are packed deeply into his Autobiography. Franklin believed that improving ones self was the key to success. Self-improvement, self-education, and self-discipline are the main factors of a self-made man. Improving yourself will ultimately improve the society as a whole. Franklin speaks of principality and inclination. His idea was to produce the principle man with the awareness of man's natural inclination. Throughout the text Franklin provides examples from his own life that contradicts his moral and social philosophies. These contradictions are mostly caused by natural inclinations. Franklin uses these contradictions to educate people to be aware of their natural inclinations and to try and overcome them. Franklin's realizes that improving oneself is a road with many imperfections. Not even the "self-made man" was completely perfect. A general theme in Franklin's writings is the differences between the private and public self and how the two interact. Parts One and Two of his Autobiography were written at different times and intended for different audiences. In Part One Franklin is speaking to his Son, (who was then the Governor of New Jersey) a public figure. It was started in 1771. Part Two was begun... ...ls. He says, ."..their Aim seeming to be rather to make us Presbyterian than good Citizens." (Pg. 94) Franklin felt as though individual study should be emphasized over dogma. Benjamin Franklin's moral and social philosophies inspired and continue to inspire millions around the globe. Becoming a "self-made man" is a long and arduous task. Improve yourself, which will in return improve the society. Contradiction is inevitable when trying to follow strict ideals. Franklin's purpose was to make people aware of their inclinations and to help them overcome the natural tendencies of man, which would limit our dependence on other people. Benjamin Franklin is an inspiration to us all. Works Cited Franklin, Benjamin, and Louis Masur, and Theda Perdue, and Frederick Douglass, and David Blight. Autobiography of Benjamin Franklin 2e. Bedford/St. Martin's, 2007.

Random Sampling Techniques

There are many ways to select a random sample. Four of them are discussed below: Simple Random Sampling: In this sampling technique, each sample of the same size has the same probability of being selected. Such a sample is called a simple random sample. One way to select a simple random sample is by a lottery or drawing. For example, if we need to select 5 students from a class of 50, we write each of the 50 names on a separate piece of paper. Then, we place all 50 names in a hat and mix them thoroughly.Next, we draw 1 name randomly from the hat. We repeat this experiment four more times. The 5 drawn names make up a simple random sample. The second procedure to select a simple random sample is to use a table of random numbers, which has become an outdated procedure. In this age of technology, it is much easier to use a statistical package, such as Minitab, to select a simple random sample. Systematic Random Sampling: The simple random sampling procedure becomes very tedious if the si ze of the population is large.For example, if we need to select 150 households from a list of 45,000, it is very time consuming either to write the 45,000 names on pieces of paper or then select 150 households or to use a table of random numbers. In such cases, it is more convenient to use systematic random sampling. Stratified Random Sampling: Suppose we need to select a sample from the population of a city, and we want households with different income levels to be proportionately represented in the sample.In this case, instead of selecting a simple random sample or a systematic random sample, we may prefer to apply a different technique. First, we divide the whole population into different groups based on income levels. Thus, whenever we observe that a population differs widely in the possession of a characteristic, we may prefer to divide it into different strata and then select one sample from each stratum. We can divide the population on the basis of any characteristic, such as income, expenditure, sex, education, race, employment, or family size.Cluster Sampling: Sometimes the target population is scattered over a wide geographical area. Consequently, if a simple random sample is selected, it may be costly to contact each member of the sample. In such a case, we divide the population into different geographical groups or clusters and as a first step select a random sample of certain clusters from all clusters. We then take a random sample of certain elements from each selected cluster. For example, suppose we are to conduct a survey of households in the state f New York. First, we divide the whole state of New York into, say, 40 regions, which are called clusters or primary units. We make sure that all clusters are similar and, hence, representative of the population. We then select at random, say, 5 clusters from 40. Next, we randomly select certain households from each of these 5 clusters and conduct a survey of these selected households. This is calle d cluster sampling. Note that all clusters must be representative of the population. Random Sampling Techniques There are many ways to select a random sample. Four of them are discussed below: Simple Random Sampling: In this sampling technique, each sample of the same size has the same probability of being selected. Such a sample is called a simple random sample. One way to select a simple random sample is by a lottery or drawing. For example, if we need to select 5 students from a class of 50, we write each of the 50 names on a separate piece of paper. Then, we place all 50 names in a hat and mix them thoroughly.Next, we draw 1 name randomly from the hat. We repeat this experiment four more times. The 5 drawn names make up a simple random sample. The second procedure to select a simple random sample is to use a table of random numbers, which has become an outdated procedure. In this age of technology, it is much easier to use a statistical package, such as Minitab, to select a simple random sample. Systematic Random Sampling: The simple random sampling procedure becomes very tedious if the si ze of the population is large.For example, if we need to select 150 households from a list of 45,000, it is very time consuming either to write the 45,000 names on pieces of paper or then select 150 households or to use a table of random numbers. In such cases, it is more convenient to use systematic random sampling. Stratified Random Sampling: Suppose we need to select a sample from the population of a city, and we want households with different income levels to be proportionately represented in the sample.In this case, instead of selecting a simple random sample or a systematic random sample, we may prefer to apply a different technique. First, we divide the whole population into different groups based on income levels. Thus, whenever we observe that a population differs widely in the possession of a characteristic, we may prefer to divide it into different strata and then select one sample from each stratum. We can divide the population on the basis of any characteristic, such as income, expenditure, sex, education, race, employment, or family size.Cluster Sampling: Sometimes the target population is scattered over a wide geographical area. Consequently, if a simple random sample is selected, it may be costly to contact each member of the sample. In such a case, we divide the population into different geographical groups or clusters and as a first step select a random sample of certain clusters from all clusters. We then take a random sample of certain elements from each selected cluster. For example, suppose we are to conduct a survey of households in the state f New York. First, we divide the whole state of New York into, say, 40 regions, which are called clusters or primary units. We make sure that all clusters are similar and, hence, representative of the population. We then select at random, say, 5 clusters from 40. Next, we randomly select certain households from each of these 5 clusters and conduct a survey of these selected households. This is calle d cluster sampling. Note that all clusters must be representative of the population.

The Steam Engine Was Not So Much Invented As Industrialised

The steam engine was not so much invented as industrialised. To give credit to any one person would be to steal credit away from its many rightful owners. The steam engine was evolved over a time of about a hundred years by three British inventors. The first basic steam powered engine was built by Thomas Savery in 1689. What was used before the steam engine? In the early days, one common way of removing the water was to use a series of buckets on a pulley system operated by horses and was slow and ineffective, since the animals required nourishing, veterinary care, and cover of some sort. The use of steam to pump water was patented by Thomas Savery in 1698.The pump was exploited to draw liquid up from the coal mine. Although, the vacuum†¦show more content†¦Western civilization, which had long been agricultural, began to centre on cities as labourers who had worked in cottage industries or on farms moved there in search of jobs. Why did invention of the steam engine industrialise England? The first trade to become industrialised was the textile industry. In 1771 a cotton-spinning mill was opened by Richard Arkwright, which was powered by a water mill. Later, in 1779, Samuel Crompton invented a newer cotton-spinning device called a spinning mule. Eventually, Edmund Cartwright invented a loom that could be driven by a steam engine, this was in 1785. As a result of these new inventions cotton manufacturing boomed. Iron production also grew promptly. In 1784 a man named Henry Cort (1740-1800) invented a much better way of making wrought iron. Until then men had to beat hot iron with mallets to remove contaminations. The result was a massive increase in iron manufacturing. New factories were the result of these new advances in technology. Large industrial buildings usually employed one central source of power to run a whole group of machines. How did the steam engine evolve? The high consumption of coal which was common in Newcomen’s steam engine was reduced through improvements in engine proposal by James Watt. The low pressure engine’s cylinder confined heat insulation, and had a pumping out device for condensed water. It was during 1800 that Richard Trevithick devised engines with steam backed by