According to a recent report, 45% of college student internships are unpaid. A recent survey of 80 college interns at a local university found that 40 had unpaid internships. a. Use the five-step p-value approach to hypothesis testing and a 0.05 level of significance to determine whether the proportion of college interns that had unpaid internships is different from 0.45. b. Assume that the study found that 47 of the 80 college interns had unpaid internships and repeat (a). Are the conclusions the same? a. Let Ļ be the population proportion. Determine the null hypothesis, H0, and the alternative hypothesis, H1. H0: Ļ = 0.45 H1: Ļ ā 0.45 What is the test statistic? ZSTAT = 0.90 What is the p-value? The p-value is . What is the final conclusion? the null hypothesis. There sufficient evidence that the proportion of college interns that had unpaid internships is 0.45 because the p-value is the level of significance. b. Assume that the study found that 47 of the 80 college interns had unpaid internships and repeat (a). What is the test statistic? ZSTAT = What is the p-value? The p-value is . What is the final conclusion? The result is part (a). the null hypothesis. There sufficient evidence that the proportion of college interns that had unpaid internships is 0.45 because the p-value is the level of significance.