Pearson eText for An Introduction to Mathematical Statistics and Its Applications -- Instant Access (Pearson+)
6th Edition
ISBN: 9780137549375
Author: Richard Larsen, Morris Marx
Publisher: PEARSON+
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Chapter 4.2, Problem 19Q
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Theorem 7.6 (Etemadi's inequality)
Let X1, X2,
X, be independent random variables. Then, for all x > 0,
P(max |S|>3x) ≤3 max P(S| > x).
Isk≤n
Theorem 7.2 Suppose that E X = 0 for all k, that Var X = 0} x) ≤ 2P(S>x
1≤k≤n
S√2),
-S√2).
P(max Sk>x) ≤ 2P(|S|>x-
1
Three players (one divider and two choosers) are going to divide a cake fairly using the lone divider method. The divider cuts the cake into three slices (s1, s2, and s3).If the chooser's declarations are Chooser 1: {s3} and Chooser 2: {s3}, which of the following is a fair division of the cake?
Chapter 4 Solutions
Pearson eText for An Introduction to Mathematical Statistics and Its Applications -- Instant Access (Pearson+)
Ch. 4.2 - If a typist averages one misspelling in every 3250...Ch. 4.2 - A medical study recently documented that 905...Ch. 4.2 - Five hundred people are attending the first annual...Ch. 4.2 - A chromosome mutation linked with colorblindness...Ch. 4.2 - Suppose that 1% of all items in a supermarket are...Ch. 4.2 - A newly formed life insurance company has...Ch. 4.2 - According to an airline industry report (189),...Ch. 4.2 - Electromagnetic fields generated by power...Ch. 4.2 - Astronomers estimate that as many as one hundred...Ch. 4.2 - During the latter part of the nineteenth century,...
Ch. 4.2 - A random sample of three hundred fifty-six seniors...Ch. 4.2 - Midwestern Skies books ten commuter flights each...Ch. 4.2 - Prob. 13QCh. 4.2 - Prob. 14QCh. 4.2 - Prob. 15QCh. 4.2 - A tool and die press that stamps out cams used in...Ch. 4.2 - In a new fiber-optic communication system,...Ch. 4.2 - Assume that the number of hits, X, that a...Ch. 4.2 - Prob. 19QCh. 4.2 - Suppose a radioactive source is metered for two...Ch. 4.2 - Suppose that on-the-job injuries in a textile mill...Ch. 4.2 - Find P(X=4) if the random variable X has a Poisson...Ch. 4.2 - Prob. 23QCh. 4.2 - Prob. 24QCh. 4.2 - Prob. 25QCh. 4.2 - Prob. 26QCh. 4.2 - Records show that deaths occur at the rate of 0.1...Ch. 4.2 - Fifty spotlights have just been installed in an...Ch. 4.2 - Prob. 29QCh. 4.3 - Use Appendix Table A.1 to evaluate the following...Ch. 4.3 - Let Z be a standard normal random variable. Use...Ch. 4.3 - (a) Let 0ab. Which number is larger?...Ch. 4.3 - Prob. 4QCh. 4.3 - Assume that the random variable Z is described by...Ch. 4.3 - Prob. 6QCh. 4.3 - Prob. 7QCh. 4.3 - Hertz Brothers, a small, family-owned radio...Ch. 4.3 - Prob. 9QCh. 4.3 - State Techs basketball team, the Fighting...Ch. 4.3 - A random sample of 747 obituaries published...Ch. 4.3 - Prob. 12QCh. 4.3 - If pX(k)=(10k)(0.7)k(0.3)10k,k=0,1,10, is it...Ch. 4.3 - A sell-out crowd of 42,200 is expected at...Ch. 4.3 - A fair coin is tossed two hundred times. Let Xi=1...Ch. 4.3 - Suppose that one hundred fair dice are tossed....Ch. 4.3 - Let X be the amount won or lost in betting $5 on...Ch. 4.3 - Prob. 18QCh. 4.3 - An electronics firm receives, on the average,...Ch. 4.3 - Prob. 20QCh. 4.3 - Econo-Tire is planning an advertising campaign for...Ch. 4.3 - A large computer chip manufacturing plant under...Ch. 4.3 - Prob. 23QCh. 4.3 - Prob. 24QCh. 4.3 - A criminologist has developed a questionnaire for...Ch. 4.3 - The cross-sectional area of plastic tubing for use...Ch. 4.3 - At State University, the average score of the...Ch. 4.3 - A college professor teaches Chemistry 101 each...Ch. 4.3 - Suppose the random variable Y can be described by...Ch. 4.3 - It is estimated that 80% of all eighteen-year-old...Ch. 4.3 - Prob. 31QCh. 4.3 - Prob. 32QCh. 4.3 - The IQs of nine randomly selected people are...Ch. 4.3 - Let Y1,Y2,...,Yn be a random sample from a normal...Ch. 4.3 - A circuit contains three resistors wired in...Ch. 4.3 - Prob. 36QCh. 4.3 - Use moment-generating functions to prove the two...Ch. 4.3 - Let Y1,Y2,...,Y9 be a random sample of size 9 from...Ch. 4.3 - Prob. 39QCh. 4.4 - Because of her past convictions for mail fraud and...Ch. 4.4 - A teenager is trying to get a drivers license....Ch. 4.4 - Prob. 3QCh. 4.4 - Recently married, a young couple plans to continue...Ch. 4.4 - Show that the cdf for a geometric random variable...Ch. 4.4 - Suppose three fair dice are tossed repeatedly. Let...Ch. 4.4 - Prob. 7QCh. 4.4 - Sometimes the geometric random variable is defined...Ch. 4.4 - Prob. 9QCh. 4.4 - Suppose that the random variables X1 and X2 have...Ch. 4.5 - A door-to-door encyclopedia salesperson is...Ch. 4.5 - An underground military installation is fortified...Ch. 4.5 - Darryls statistics homework last night was to flip...Ch. 4.5 - When a machine is improperly adjusted, it has...Ch. 4.5 - For a negative binomial random variable whose pdf...Ch. 4.5 - Let the random variable X denote the number of...Ch. 4.5 - Calculate the mean, variance, and...Ch. 4.5 - Let X1,X2, and X3 be three independent negative...Ch. 4.5 - Differentiate the moment-generating function...Ch. 4.5 - Suppose that X1,X2,...,Xk are independent negative...Ch. 4.6 - An Arctic weather station has three electronic...Ch. 4.6 - A service contact on a new university computer...Ch. 4.6 - Suppose a set of measurements Y1,Y2,...,Y100 is...Ch. 4.6 - Demonstrate that plays the role of a scale...Ch. 4.6 - Show that a gamma pdf has the unique mode r1; that...Ch. 4.6 - Prove that (12)=. (Hint: Consider E(Z2)), where Z...Ch. 4.6 - Show that (72)=158.Ch. 4.6 - If the random variable Y has the gamma pdf with...Ch. 4.6 - Differentiate the gamma moment-generating function...Ch. 4.6 - Prob. 10Q
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- Theorem 1.4 (Chebyshev's inequality) (i) Suppose that Var X x)≤- x > 0. 2 (ii) If X1, X2,..., X, are independent with mean 0 and finite variances, then Στη Var Xe P(|Sn| > x)≤ x > 0. (iii) If, in addition, X1, X2, Xn are identically distributed, then nVar Xi P(|Sn> x) ≤ x > 0. x²arrow_forwardTheorem 2.5 (The Lyapounov inequality) For 0arrow_forwardTheorem 1.6 (The Kolmogorov inequality) Let X1, X2, Xn be independent random variables with mean 0 and suppose that Var Xk 0, P(max Sk>x) ≤ Isk≤n Σ-Var X In particular, if X1, X2,..., X, are identically distributed, then P(max Sx) ≤ Isk≤n nVar X₁ x2arrow_forwardTheorem 3.1 (The Cauchy-Schwarz inequality) Suppose that X and Y have finite variances. Then |EXYarrow_forwardAbout 25% of people in America use a certain social media website. In a group with 20 people (assume that it is a random sample of people in America), what are the following probabilities? (Round your answers to three decimal places.) a) At least one of them uses the website. b) More than two of them use the website. c) None of them use the website. d) At least 18 of them do not use the website. please show all steps and work for probabilities. answer parts a-d.arrow_forwardExample 4 (Part 2) We can use Statkey to take 50 different random samples of size 20 each, find the mean of each sample, and compute a confidence interval for each one. The graph of the sampling distribution of the means is on the left below, and that of the 50 confidence intervals is on the right. 1. What does each dot on the left hand dotplot represent? StatKey Sampling Distribution for a Mean Percent with Internet Access (Countries) ▾ Show Data Table Edit Data Choose samples of size n = 20 Upload File Change Column(s) Generate 1 Sample Generate 10 Samples Generate 100 Samples Generate 1000 Samples Reset Plot Sampling Dotplot of Mean Left Tail Two-Tail Right Tail 60 50 40 40 30 20 20 10 samples = 50 mean = 41.626 std. error = 5.089 : .: : :: 0 25 30 35 40 45 50 55 60 41.626 Data Plots Confidence Intervals 95%-> Confidence Intervals Coverage 48/50 = 96% 20 40 60 80 2. Circle the confidence intervals that failed to capture the true mean. 3. Circle the sample means that produced those…arrow_forwardExample 4 (Part 1) One of the datasets in the Lock book contains information about 215 countries of the world. One of the variables is the percentage of people in the country who have access to the internet. We have data for 203 of those countries. The plot on the right shows a dotplot of the data. 1. What are the cases? 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Why or why not?arrow_forwardCycles to failure Position in ascending order 0.5 f(x)) (x;) Problem 44 Marsha, a renowned cake scientist, is trying to determine how long different cakes can survive intense fork attacks before collapsing into crumbs. To simulate real-world cake consumption, she designs a test where cakes are subjected to repeated fork stabs and bites, mimicking the brutal reality of birthday parties. After rigorous testing, Marsha records 10 observations of how many stabs each cake endured before structural failure. Construct P-P plots for (a.) a normal distribution, (b.) a lognormal distribution, and (c.) a Weibull distribution (using the information included in the table below). Which distribution seems to be the best model for the cycles to failure for this material? Explain your answer in detail. 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