Essentials of Statistics (5th Edition)
5th Edition
ISBN: 9780321924599
Author: Mario F. Triola
Publisher: PEARSON
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Chapter 11, Problem 3CRE
ICU Patients Listed below are the ages of randomly selected patients in intensive care units (based on data from “A Multifaceted Intervention for Quality Improvement in a Network of Intensive Care Units,” by Scales et al., Journal of the American Medical Association, Vol. 305, No. 4). Find the
38 64 35 67 42 29 68 62 74 58
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Throughout, A, B, (An, n≥ 1), and (Bn, n≥ 1) are subsets of 2.
1. Show that
AAB (ANB) U (BA) = (AUB) (AB),
Α' Δ Β = Α Δ Β,
{A₁ U A2} A {B₁ U B2) C (A1 A B₁}U{A2 A B2).
16. Show that, if X and Y are independent random variables, such that E|X|< ∞,
and B is an arbitrary Borel set, then
EXI{Y B} = EX P(YE B).
Proposition 1.1 Suppose that X1, X2,... are random variables. The following
quantities are random variables:
(a) max{X1, X2) and min(X1, X2);
(b) sup, Xn and inf, Xn;
(c) lim sup∞ X
and lim inf∞ Xn-
(d) If Xn(w) converges for (almost) every w as n→ ∞, then lim-
random variable.
→ Xn is a
Chapter 11 Solutions
Essentials of Statistics (5th Edition)
Ch. 11.2 - Prob. 1BSCCh. 11.2 - Prob. 2BSCCh. 11.2 - Prob. 3BSCCh. 11.2 - Prob. 4BSCCh. 11.2 - Prob. 5BSCCh. 11.2 - Prob. 6BSCCh. 11.2 - In Exercises 5-20, conduct the hypothesis test and...Ch. 11.2 - In Exercises 5-20, conduct the hypothesis test and...Ch. 11.2 - Prob. 9BSCCh. 11.2 - In Exercises 5-20, conduct the hypothesis test and...
Ch. 11.2 - Prob. 11BSCCh. 11.2 - In Exercises 5-20, conduct the hypothesis test and...Ch. 11.2 - Prob. 13BSCCh. 11.2 - Prob. 14BSCCh. 11.2 - In Exercises 5-20, conduct the hypothesis test and...Ch. 11.2 - In Exercises 5-20, conduct the hypothesis test and...Ch. 11.2 - Prob. 17BSCCh. 11.2 - American Idol Contestants on the TV show American...Ch. 11.2 - In Exercises 5-20, conduct the hypothesis test and...Ch. 11.2 - Prob. 20BSCCh. 11.2 - Prob. 21BSCCh. 11.2 - Prob. 22BSCCh. 11.2 - Benfords Law. According to Benfords law, a variety...Ch. 11.2 - Prob. 24BSCCh. 11.2 - Testing Goodness-of-Fit with a Normal Distribution...Ch. 11.3 - Smoking Cessation The accompanying table...Ch. 11.3 - Prob. 2BSCCh. 11.3 - Degrees of Freedom and Critical Value For the...Ch. 11.3 - Prob. 4BSCCh. 11.3 - Prob. 5BSCCh. 11.3 - Prob. 6BSCCh. 11.3 - Prob. 7BSCCh. 11.3 - Prob. 8BSCCh. 11.3 - In Exercises 5-18, test the given claim. 9. Is...Ch. 11.3 - Prob. 10BSCCh. 11.3 - In Exercises 5-18, test the given claim. 11....Ch. 11.3 - Prob. 12BSCCh. 11.3 - Soccer Strategy In soccer, serious fouls in the...Ch. 11.3 - Prob. 14BSCCh. 11.3 - Prob. 15BSCCh. 11.3 - In Exercises 5-18, test the given claim. 16....Ch. 11.3 - Prob. 17BSCCh. 11.3 - Prob. 18BSCCh. 11.3 - Prob. 19BSCCh. 11.3 - Prob. 20BSCCh. 11.3 - Prob. 21BBCh. 11.3 - Using Yatess Correction for Continuity The...Ch. 11.4 - In Exercises 1-4, use the following listed chest...Ch. 11.4 - Prob. 2BSCCh. 11.4 - In Exercises 1-4, use the following listed chest...Ch. 11.4 - Prob. 4BSCCh. 11.4 - In Exercises 516, use analysis of variance for the...Ch. 11.4 - In Exercises 516, use analysis of variance for the...Ch. 11.4 - Highway Fuel Consumption Data Set 14 in Appendix B...Ch. 11.4 - City Fuel Consumption Data Set 14 in Appendix B...Ch. 11.4 - Head Injury Crash Test Data Exercises 14 use chest...Ch. 11.4 - Pelvis Injury Crash Test Data Exercises 14 use...Ch. 11.4 - Prob. 11BSCCh. 11.4 - Prob. 12BSCCh. 11.4 - Prob. 13BSCCh. 11.4 - Prob. 14BSCCh. 11.4 - Prob. 15BSCCh. 11.4 - Prob. 16BSCCh. 11.4 - Tukey Test A display of the Bonferroni test...Ch. 11 - Prob. 1CQQCh. 11 - Prob. 2CQQCh. 11 - Questions 1-5 refer to the sample data in the...Ch. 11 - Prob. 4CQQCh. 11 - Prob. 5CQQCh. 11 - Prob. 6CQQCh. 11 - Prob. 7CQQCh. 11 - Prob. 8CQQCh. 11 - Prob. 9CQQCh. 11 - Questions 6-10 refer to the sample data in the...Ch. 11 - Auto Fatalities The table below lists auto...Ch. 11 - Prob. 2RECh. 11 - Prob. 3RECh. 11 - Prob. 4RECh. 11 - Prob. 5RECh. 11 - Home Field Advantage Winning-team data were...Ch. 11 - Prob. 7RECh. 11 - Prob. 1CRECh. 11 - Prob. 2CRECh. 11 - ICU Patients Listed below are the ages of randomly...Ch. 11 - Prob. 4CRECh. 11 - Boats and Manatees The table below lists the...Ch. 11 - Forward Grip Reach and Ergonomics When designing...Ch. 11 - Honesty Is the Best Policy In a USA Today survey...Ch. 11 - Probability and Honesty Based on the sample...Ch. 11 - Use Statdisk, Minitab, Excel, StatCrunch, a...Ch. 11 - Prob. 1FDD
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- Exercise 4.2 Prove that, if A and B are independent, then so are A and B, Ac and B, and A and B.arrow_forward8. Show that, if {Xn, n ≥ 1) are independent random variables, then sup X A) < ∞ for some A.arrow_forward8- 6. Show that, for any random variable, X, and a > 0, 8 心 P(xarrow_forward15. This problem extends Problem 20.6. Let X, Y be random variables with finite mean. Show that 00 (P(X ≤ x ≤ Y) - P(X ≤ x ≤ X))dx = E Y — E X.arrow_forward(b) Define a simple random variable. Provide an example.arrow_forward17. (a) Define the distribution of a random variable X. (b) Define the distribution function of a random variable X. (c) State the properties of a distribution function. (d) Explain the difference between the distribution and the distribution function of X.arrow_forward16. (a) Show that IA(w) is a random variable if and only if A E Farrow_forward15. Let 2 {1, 2,..., 6} and Fo({1, 2, 3, 4), (3, 4, 5, 6}). (a) Is the function X (w) = 21(3, 4) (w)+711.2,5,6) (w) a random variable? Explain. (b) Provide a function from 2 to R that is not a random variable with respect to (N, F). (c) Write the distribution of X. (d) Write and plot the distribution function of X.arrow_forward20. Define the o-field R2. Explain its relation to the o-field R.arrow_forward7. Show that An → A as n→∞ I{An} - → I{A} as n→ ∞.arrow_forward7. (a) Show that if A,, is an increasing sequence of measurable sets with limit A = Un An, then P(A) is an increasing sequence converging to P(A). (b) Repeat the same for a decreasing sequence. (c) Show that the following inequalities hold: P (lim inf An) lim inf P(A) ≤ lim sup P(A) ≤ P(lim sup A). (d) Using the above inequalities, show that if A, A, then P(A) + P(A).arrow_forward19. (a) Define the joint distribution and joint distribution function of a bivariate ran- dom variable. (b) Define its marginal distributions and marginal distribution functions. (c) Explain how to compute the marginal distribution functions from the joint distribution function.arrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_ios
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