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In an American Economic Review (Dec. 2008) study of college dropouts, one factor thought to influence the college dropout decision was expected GPA for a student who studied 3 hours per day. In a representative sample of 307 college students who studied 3 hours per day, the mean GPA was xbar = 3.11 and the standard deviation was s = .66. Of interest is µ, the true mean GPA of all college students who study 3 hours per day.
a. Give a point estimate for µ.
b. Give an interval estimate for µ. Use a confidence coefficient of .98.
c. Comment on the validity of the following statement: "98% of the time, the true mean GPA will fall in the interval computed in part b."
d. It is unlikely that the GPA values for college students who study 3 hours per day are normally distributed. In fact, it is likely that the GPA distribution is highly skewed. If so, what impact, if any, does this have on the validity of inferences derived from the confidence interval?
What is the chance that the number who say "yes" in a properly drawn random sample of 500 will be smaller than 360?
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