Essay on The Progressive Presidents

Essay on The Progressive Presidents Essay on The Progressive Presidents Essay on The Progressive PresidentsThe progressiveness of the U.S. presidential elections of 1912 was concluded in different philosophies of the two prime candidates, Theodore Roosevelt and Woodrow Wilson, both of whom expressed Progressive ideas. Although both candidates, Wilson and Roosevelt, were Progressive, their attitudes regarding the promotion and implementation of the ideas of Progressivism in the United States were different, at least in their theoretic approaches. Reviewing the complex nature of Progressivism, it is possible to explore how presidents’ policies while in office may be different from their rhetoric on the campaign trail. Actually, the study of presidency helps to better understand the nature of political philosophy (Bowles, 2011). According to third-party Bull Mooses, Americans needed a new party that would help the nation to awaken and promote the sense of justice. The Progressive Party was aimed at the fulfillment of the duty to â€Å"maintain the g overnment of the people, by the people and for the people† (Bull Moose Party, 1912). The Bull Moose Party was linked to Roosevelt’s political ideas. Wilson and Roosevelt expressed their ideas and priorities in their speeches: New Nationalism by Roosevelt and New Freedom by Wilson. The major goal of this paper is to compare each president’s political principles with his actions while in office and define how well their actions matched their rhetoric.Comparing Theodore Roosevelt’s political principles with his actions while in officeTheodore Roosevelt’s political principles differed from his actions while in office. Roosevelt’s political principles were aimed at developing new nationalism through socialization of democracy. He highlighted the â€Å"need for government to regulate capitalism, and provide a square deal for all Americans† (Roosevelt, 1910). Roosevelt wanted to achieve equality of opportunity, destructing the established spe cial privileges. He said, â€Å"The essence of any struggle for healthy liberty has always been, and must always be, to take from some one man or class of men the right to enjoy power, or wealth, or position, or immunity, which has not been earned by service to his or their fellows† (Roosevelt, 1910). He wanted to achieve practical equality of opportunity for all American citizens.Roosevelt’s presidency had been focused on realization of the new form of democracy through combining Hamilton’s strong presidency and Jefferson’s egalitarian political thought.   In fact, Roosevelt was the first political leader who managed to identify national principle with reforms. He realized that American leader should not only represent the national interests, but also develop reforms to meet the needs of the nation. As a result, some of Roosevelt’s policies while in office were different from his rhetoric on the campaign trail. In general, Roosevelt became an in itiator and promoter of many progressive reforms. He supported organized labor, the control and regulation of business by the government, the protection of consumer rights (Bowles, 2011).Comparing Woodrow Wilson’s political principles with his actions while in officeWoodrow Wilson’s political principles differed from his actions while in office. Wilson Inaugural Address made in 1913 provides many important facts that reflect Wilson’s political thought. He said, â€Å"We have built up, moreover, a great system of government, which has stood through a long age as in many respects a model for those who seek to set liberty upon foundations that will endure against fortuitous change, against storm and accident† (Wilson, 1913). He wanted to improve commerce of the world based on the just principles of taxation. He planned to use the government as an instrument to promote national interests, improve banking system and industrial system. He proposed to reform pol itical institutions, rejecting the ideas of traditional constitutionalism.The presidency of Wilson demonstrated different outcomes. Wilson was progressive in his ideas and tried to make some changes in conditions in both the economic and political fields. He referred to historicism. Wilson acted as a reformer. He managed to lower tariffs, improve banking regulation, but failed to break up monopolies. Besides, he led the US into WWI (the Great War) in 1917, despite his peaceful intentions. He passed the Espionage Act and Sedition Act to suppress the opponents of war (Bowles, 2011).Conclusion  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   Thus, it is necessary to conclude that both presidents succeeded in the Progressive era due to their progressive political ideas. The success of Theodore Roosevelt in politics did not influence his political contest at presidential elections of 1912. Woodrow Wilson managed to win, having the highest electoral vote and the majority of the popular vote. N evertheless, these progressive presidents have very much in common.   Both of them developed policies while in office that differed from their rhetoric on the campaign trail. Both political leaders addressed the problems caused by increased industrialization, urbanization and the growth of big businesses in their political rhetoric, but they used different approaches to solve the problem while in office. Roosevelt placed emphasis on the importance of increased efficiency brought on by big businesses, but highlighted the need to pass legislation against the abuse of power, while Wilson argued that all monopoly was unproductive and wanted to abolish it, promoting small businesses. Undoubtedly, both presidents contributed to the development of the US during the Progressive Era.

ANOVA (Analysis of Variance) - Statistics Definition

ANOVA (Analysis of Variance) - Statistics Definition Many times when we study a group, we are really comparing two populations. Depending upon the parameter of this group we are interested in and the conditions we are dealing with, there are several techniques available. Statistical inference procedures that concern the comparison of two populations cannot usually be applied to three or more populations. To study more than two populations at once, we need different types of statistical tools. Analysis of variance, or ANOVA, is a technique from statistical interference that allows us to deal with several populations. Comparison of Means To see what problems arise and why we need ANOVA, we will consider an example. Suppose we are trying to determine if the mean weights of green, red, blue and orange MM candies are different from each other. We will state the mean weights for each of these populations, ÃŽ ¼1, ÃŽ ¼2, ÃŽ ¼3 ÃŽ ¼4 and respectively. We may use the appropriate hypothesis test several times, and test C(4,2), or six different null hypotheses: H0: ÃŽ ¼1 ÃŽ ¼2 to check if the mean weight of the population of the red candies is different than the mean weight of the population of the blue candies.H0: ÃŽ ¼2 ÃŽ ¼3 to check if the mean weight of the population of the blue candies is different than the mean weight of the population of the green candies.H0: ÃŽ ¼3 ÃŽ ¼4 to check if the mean weight of the population of the green candies is different than the mean weight of the population of the orange candies.H0: ÃŽ ¼4 ÃŽ ¼1 to check if the mean weight of the population of the orange candies is different than the mean weight of the population of the red candies.H0: ÃŽ ¼1 ÃŽ ¼3 to check if the mean weight of the population of the red candies is different than the mean weight of the population of the green candies.H0: ÃŽ ¼2 ÃŽ ¼4 to check if the mean weight of the population of the blue candies is different than the mean weight of the population of the orange candies. There are many problems with this kind of analysis. We will have six p-values. Even though we may test each at a 95% level of confidence, our confidence in the overall process is less than this because probabilities multiply: .95 x .95 x .95 x .95 x .95 x .95 is approximately .74, or an 74% level of confidence. Thus the probability of a type I error has increased. At a more fundamental level, we cannot compare these four parameters as a whole by comparing them two at a time. The means of the red and blue MMs may be significant, with the mean weight of red being relatively larger than the mean weight of the blue. However, when we consider the mean weights of all four kinds of candy, there may not be a significant difference. Analysis of Variance To deal with situations in which we need to make multiple comparisons we use ANOVA. This test allows us to consider the parameters of several populations at once, without getting into some of the problems that confront us by conducting hypothesis tests on two parameters at a time. To conduct ANOVA with the MM example above, we would test the null hypothesis H0:ÃŽ ¼1 ÃŽ ¼2 ÃŽ ¼3 ÃŽ ¼4. This states that there is no difference between the mean weights of the red, blue and green MMs. The alternative hypothesis is that there is some difference between the mean weights of the red, blue, green and orange MMs. This hypothesis is really a combination of several statements Ha: The mean weight of the population of red candies is not equal to the mean weight of the population of blue candies, ORThe mean weight of the population of blue candies is not equal to the mean weight of the population of green candies, ORThe mean weight of the population of green candies is not equal to the mean weight of the population of orange candies, ORThe mean weight of the population of green candies is not equal to the mean weight of the population of red candies, ORThe mean weight of the population of blue candies is not equal to the mean weight of the population of orange candies, ORThe mean weight of the population of blue candies is not equal to the mean weight of the population of red candies. In this particular instance, in order to obtain our p-value, we would utilize a probability distribution known as the F-distribution. Calculations involving the ANOVA F test can be done by hand, but are typically computed with statistical software. Multiple Comparisons What separates ANOVA from other statistical techniques is that it is used to make multiple comparisons. This is common throughout statistics, as there are many times where we want to compare more than just two groups. Typically an overall test suggests that there is some sort of difference between the parameters we are studying. We then follow this test with some other analysis to decide which parameter differs.