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Question 833:



No answer provided yet.For this question we want to know if there is evidence that a sample mean is different than a particular population mean. We'll use the 5-step hypothesis testing procedure and use the 1-sample t test.

  1. The Null hypothesis is that there is no difference between the salaries of Political Science students and the average American.  The alternate hypothesis is that there is a difference in average salaries.
  2. We will conduct a 1-sample t-test against the test mean of $36,345.45 and reject the Null Hypothesis if the p-value is less than the alpha value of .05.
  3. In conducting a 1-sample t-test the test-statistic t is found using the following steps:
    1. Find the difference in the sample mean and test mean = 36,878.25-36,345.45 = $532.80
    2. Divide this difference by the standard error of the mean (SEM). The SEM is found as the standard deviation divided by the square root of the sample size = 400/SQRT(25) = 400/5 = 80.
    3. The test statistic t = 532.8/80 = 6.66.
    4. We lookup the t-statistic using a t-table on n-1 degrees of freedom (24) and we get the 2-sided p-value of less than .001.
  4. Since the p-value is far less than our alpha cut-off value of .05 there is sufficient evidence for us to reject the Null Hypothesis.
  5. We conclude that Political Science students make a different salary than the average American.

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