A recent college graduate is trying to decide whether or not pursuing a Master's degree is worth it. He decides examine this question at the a 0.05 level of significance, by comparing the salaries of a random sample of adults with only a Bachelor's degree to a random sample of adults with a Master's degree to see if the adults with a Master's degree earn more money. Let uB represent the average salary of an adult with a Bachelor's degree only and uM represent the average salary of an adult with a Master's degree. Which would be correct hypotheses for this test? O Ho: HB = UM, H1: µB > HM O Ho: HB # HM, H1: µB = µM O Ho: HB = µM, H1:HB < HM O Ho: HB = HM, H1:HB # HM A random sample of 68 standard deviation of $1187. A random sample of 40 adults with a Master's degree had an average salary of $47214, with a standard deviation of $1769. dults with only a Bachelor's degree had an average salary of $45452, with a Find the test statistic (2 decimal places): Give the P-value (4 decimal places - is less than 0.001 answer 0): Which is the correct result: O Reject the Null Hypothesis O Do not Reject the Null Hypothesis Which would be the appropriate conclusion? O There is not significant evidence to suggest that adults with a Master's degree earn more than adults with only a Bachelor's degree. O There is significant evidence to suggest that adults with a Master's degree earn more than adults with only a Bachelor's degree.

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2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.