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Review questions for a final exam in probability and statistics. The questions cover topics such as finding probabilities, confidence intervals, hypothesis testing, and normal probability plots. The exam is open book and closed notes, with some restrictions. Students are expected to be able to solve problems related to normal distributions, sample means, and standard deviations.
Typology: Exams
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Because the final covers so much material the problems will often be easier than on past exams, for instance with more questions on concepts than in the past. However, the flip side is that there will be little room for partial credit. Expect questions of a similar level to those on this review, with only a few questions of the level of problem #5.
Included here are questions on new material only. For old material please review previous exams, review questions and quizzes. The exam is comprehensive, with roughly 25% on material from each of Exam 1, Exam 2, Exam 3 and new material. To inflate my undersized ego I have decided to assert my authority and oppose popular opinion by making the exam open book and closed notes (and you cannot put tabs marking pages in the book; use the Table of Contents to find things). However, you can also bring a 3 Ć 5 notecard with notes on both sides if you feel the need. A calculator may be used, but cannot be used to avoid work (e.g. you must still use Z-scores).
(1): Suppose a random sample of size n = 9 is drawn from a normal distribution with μ = 20.0. For what value of k is
P
ā£ā£ ā„ k
and for what value of k is
P
Ļ/
⣠ā„^ k
(2): Suppose a sample of size n = 7 from a normally distributed variable Y has sample average yĀÆ = 17.
a. Give the 95% confidence interval for the mean value μY if the sample standard deviation is S = 2.75. b. Give the 95% confidence interval for the mean value μY if the actual standard deviation is known to be Ļ = 2.75. c. Use the sample data to test the hypothesis
H 0 : μ = 15 H 1 : μ > 15
at the α = 0.05 level, if the sample standard deviation is S = 2.75.
(3-4): The next two questions are based on the following table, showing the lean body mass and resting metabolic rate for 12 women and 7 men.
Subject Sex Mass Rate Subject Sex Mass Rate 1 M 62.0 1792 11 F 40.3 1189 2 M 62.9 1666 12 F 33.1 913 3 F 36.1 995 13 M 51.9 1460 4 F 54.6 1425 14 F 42.4 1124 5 F 48.5 1396 15 F 34.5 1052 6 F 42.0 1418 16 F 51.1 1347 7 M 47.4 1362 17 F 41.2 1204 8 F 50.6 1502 18 M 51.9 1867 9 F 42.0 1256 19 M 46.9 1439 10 M 48.7 1614
(3): Following is a normal probability plot for the metabolic rates in the table. Are the rates approximately normal? Justify your answer.
(4): Let mi denote the metabolic rate of person i. The metabolic rates have
ā^19
i=
mi = 26, 021 and
i=
m^2 i = 36, 829 , 995
Find ĀÆm and Sm, i.e. the sample mean and standard deviation.
You may use clever features on your calculator to find ĀÆm and Sm directly ONLY IF you can explain how such a calculation can be done by hand (such as ācalculator says ... and these can be found manually by doing ...ā); if you do this then be VERY careful because there is no work from which I can give partial credit.