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STATS:DATA+MODELS-W/DVD
4th Edition
ISBN: 9780321986498
Author: DeVeaux
Publisher: PEARSON
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Chapter 22, Problem 52E
To determine
Find whether it is possible that the 95% confidence interval for
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5. Let X be a positive random variable with finite variance, and let A = (0, 1).
Prove that
P(X AEX) 2 (1-A)² (EX)²
EX2
6. Let, for p = (0, 1), and xe R. X be a random variable defined as follows:
P(X=-x) = P(X = x)=p. P(X=0)= 1-2p.
Show that there is equality in Chebyshev's inequality for X.
This means that Chebyshev's inequality, in spite of being rather crude, cannot be
improved without additional assumptions.
4. Prove that, for any random variable X, the minimum of EIX-al is attained for
a = med (X).
Chapter 22 Solutions
STATS:DATA+MODELS-W/DVD
Ch. 22.3 - A public broadcasting station plans to launch a...Ch. 22.3 - Prob. 2JCCh. 22.4 - Prob. 3JCCh. 22.4 - Prob. 4JCCh. 22.5 - Prob. 5JCCh. 22.5 - Prob. 6JCCh. 22.5 - Prob. 7JCCh. 22.5 - Prob. 8JCCh. 22.6 - Prob. 9JCCh. 22.6 - Prob. 10JC
Ch. 22.6 - Prob. 11JCCh. 22 - Prob. 1ECh. 22 - Prob. 2ECh. 22 - Prob. 5ECh. 22 - Prob. 6ECh. 22 - Prob. 7ECh. 22 - Prob. 8ECh. 22 - Prob. 3ECh. 22 - Prob. 4ECh. 22 - Prob. 9ECh. 22 - Prob. 10ECh. 22 - Prob. 11ECh. 22 - Prob. 12ECh. 22 - Prob. 13ECh. 22 - Prob. 14ECh. 22 - Prob. 15ECh. 22 - Prob. 16ECh. 22 - Prob. 17ECh. 22 - 18. Athlete ages, overtime Repeat the test you did...Ch. 22 - Prob. 19ECh. 22 - Prob. 20ECh. 22 - Prob. 21ECh. 22 - 22. Science news At the end of 2013, the Pew...Ch. 22 - Prob. 23ECh. 22 - 24. Regulating access When a random sample of 935...Ch. 22 - Prob. 25ECh. 22 - 26. Buy it again? A consumer magazine plans to...Ch. 22 - Prob. 27ECh. 22 - Prob. 28ECh. 22 - Prob. 29ECh. 22 - Prob. 30ECh. 22 - Prob. 31ECh. 22 - Prob. 32ECh. 22 - Prob. 33ECh. 22 - 34. Anorexia The Journal of the American Medical...Ch. 22 - Prob. 35ECh. 22 - Prob. 36ECh. 22 - Prob. 37ECh. 22 - Prob. 38ECh. 22 - Prob. 39ECh. 22 - 40. Politics and sex One month before the...Ch. 22 - 41. Mammograms It’s widely believed that regular...Ch. 22 - Prob. 42ECh. 22 - Prob. 43ECh. 22 - Prob. 44ECh. 22 - Prob. 45ECh. 22 - Prob. 46ECh. 22 - Prob. 47ECh. 22 - Prob. 48ECh. 22 - Prob. 49ECh. 22 - Prob. 50ECh. 22 - Prob. 51ECh. 22 - Prob. 52ECh. 22 - Prob. 53ECh. 22 - Prob. 54ECh. 22 - Prob. 55ECh. 22 - Prob. 56ECh. 22 - Prob. 57ECh. 22 - 58. Stereograms In Exercises 49 and 50, Chapter 4,...Ch. 22 - Prob. 59ECh. 22 - Prob. 60ECh. 22 - 61. Commuting A man who moves to a new city sees...Ch. 22 - 62. Pulse rates A researcher wanted to see whether...Ch. 22 - Prob. 63ECh. 22 - Prob. 64ECh. 22 - Prob. 65ECh. 22 - Egyptians Some archaeologists theorize that...Ch. 22 - Prob. 67ECh. 22 - 68. Streams In Chapter 6, Exercise 25, we looked...Ch. 22 - 70. Memory Does ginkgo biloba enhance memory? In...Ch. 22 - Prob. 71ECh. 22 - 72. Hard water by region Recall from Chapter 7,...Ch. 22 - Prob. 73ECh. 22 - Prob. 74ECh. 22 - Prob. 75ECh. 22 - Prob. 76ECh. 22 - Prob. 77ECh. 22 - Prob. 78ECh. 22 - Prob. 79ECh. 22 - Prob. 80ECh. 22 - 83. Tees Does it matter what kind of tee a golfer...Ch. 22 - Prob. 84ECh. 22 - Prob. 85ECh. 22 - Prob. 86ECh. 22 - Prob. 69E
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- 8. Recall, from Sect. 2.16.4, the likelihood ratio statistic, Ln, which was defined as a product of independent, identically distributed random variables with mean 1 (under the so-called null hypothesis), and the, sometimes more convenient, log-likelihood, log L, which was a sum of independent, identically distributed random variables, which, however, do not have mean log 1 = 0. (a) Verify that the last claim is correct, by proving the more general statement, namely that, if Y is a non-negative random variable with finite mean, then E(log Y) log(EY). (b) Prove that, in fact, there is strict inequality: E(log Y) < log(EY), unless Y is degenerate. (c) Review the proof of Jensen's inequality, Theorem 5.1. Generalize with a glimpse on (b).arrow_forward3. Prove that, for any random variable X, the minimum of E(X - a)² is attained for a = EX. Provedarrow_forward7. Cantelli's inequality. Let X be a random variable with finite variance, o². (a) Prove that, for x ≥ 0, P(X EX2x)≤ 02 x² +0² 202 P(|X - EX2x)<≤ (b) Find X assuming two values where there is equality. (c) When is Cantelli's inequality better than Chebyshev's inequality? (d) Use Cantelli's inequality to show that med (X) - EX ≤ o√√3; recall, from Proposition 6.1, that an application of Chebyshev's inequality yields the bound o√√2. (e) Generalize Cantelli's inequality to moments of order r 1.arrow_forward
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