Matlab, Fourth Edition: A Practical Introduction to Programming and Problem Solving
Matlab, Fourth Edition: A Practical Introduction to Programming and Problem Solving
4th Edition
ISBN: 9780128045251
Author: Stormy Attaway Ph.D. Boston University
Publisher: Elsevier Science
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Chapter 5, Problem 26E
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Suppose that we have data y = (1,...,n). Each data point y; is assumed to be generated by a distribution with the following probability density function: P(yi | n)=3nye, y; ≥0. The unknown parameter is >0. (a) Write down the likelihood for n given y, and find an expression for the maximum likelihood estimate (MLE) of n. (b) A Gamma(a, 3) distribution is chosen as the prior distribution for 7, where a > 0 and > 0 are known. Show that the posterior distribution of n, denoted p(n | A), is also a gamma distribution with updated parameters that you should determine.
Do the data provide compelling evidence (at α=0.05) for concluding that true average strength for the 1078 grade exceeds that for the 1064 grade? Show all your work. Estimate the difference between true average strengths for the two grades with a 95% confidence interval for the previous problem.
Use Minitab and the GPA data (GPAData.xlsx) to answer the following. a) (15 points) Is there a mean difference in High School GPA and a person's GPA following their first year of college? State the relevant hypotheses and provide the p-value from the output. Include a decision and interpretation at a 10% level of significance. b) (5 points) Is the assumption of normality satisfied? Include any plots you make to check the normality assumption and comments on your observations.
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