STEM Internships - In 2017, a survey conducted by the MSU Graduate School asked MSU graduate students studying STEM fiel

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Stem Internships In 2017 A Survey Conducted By The Msu Graduate School Asked Msu Graduate Students Studying Stem Fiel 1 (70.36 KiB) Viewed 84 times

STEM Internships - In 2017, a survey conducted by the MSU Graduate School asked MSU graduate students studying STEM fields, “Do you value an internship experience more than your academic research for the future industrial job market?” The survey report stated that 77% of respondents said, "yes". The MSU Statistics Department wonders if, in recent years, this proportion has decreased from 77%. The department randomly selects 355 MSU graduate students in STEM fields and finds that 263 of them answered "yes" to the same question Round all calculated values in this problem to 4 decimal places 1. The Statistics Department decides to conduct a hypothesis test for their research question. Which test is most appropriate for this scenario? O A xgoodness of fit test B. One sample Z-test for a population proportion OC. X2 test of independence OD. Two sample z-test for the difference in population proportions E. One sample t-test for a population mean 2. Which of the following conditions must be met for the hypothesis test to be valid? Check all that apply. A. npo > 10 and n(1 - po) > 10 B. The null standard error must be at least 5. C. The sample size must be larger than 30 or the population data must be normally distributed OD. np > 10 and n(1-P) > 10 E. Each observation must be independent of the other observations in the data set. 3. Choose the appropriate null and alternative hypotheses the department should use to answer their research question. OA. H : P = 0.77, HA:P >0.77 OB. H. : p=0.77, HA:P < 0.77 OC. Ho : p=0.77, HA:P +0.77 OD. H : p=0.77, HA:P < 0.7408 4. Calculate the test statistic. Z 5. Calculate the p value. P-value = evidence that the null model is not a 6. Gina works for another university in Michigan and conducts a similar hypothesis test for her university. She calculates a p-value of 0.0187. Gina has Strong good fit for her observed data