A First Course in Probability (10th Edition)
10th Edition
ISBN: 9780134753119
Author: Sheldon Ross
Publisher: PEARSON
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- Consider the binomial distribution with n trials and PS) - p. (a) Show that Ply) Ply - 1) (n - y+1)p for y - 1, 2,..., n. Equivalently, for y- 1, 2, .., n, the equation plv) - M-Y+ 1)P ply - 1) gves a recursive relationship between the probabilities assodated with successive values of Y. Ply - 1) " pr-g- -1) - In-y+ 1)p (b) fn- 70 and p- 0.04, use the above relationship to find PY ply - 1) if y is smalI (y (n + 1) p). Thus, successive binamial probabilities increase for a while and decrease from then on. (c) Show that ya (n + 1)p > y (n +1- vp >y+ (n +1- vo> Your answer cannot be undenstood or graded. More Information (n+1-yIP> ya plv) Ply - 1) (n + 1) p. Show that (n + 1lp Ply - 2) >.. Also for y 2 (n + 1p, then ply) a > ply + 2) >.... Thus it is clear that p(y) is madimized when y is as clase to pas possible.arrow_forward15) The following table displays a frequency distribution for the number of siblings for students in one middle school. For a randomly selected student in the school, let Y denote the number of siblings of the student. Number of siblings 0 1 2 3 4 567 Frequency 189 245 102 42 24 13 5 2 15) Use random-variable notation to represent the event that the student obtained has at least two but fewer than six siblings. A) (2 ≤Y <6) B) (2arrow_forward4.a) Given a fair die, let X be the random variable denoting the result when the die is rolled. Find (i) E(X), (ii) E(X²), and (iii) V(X). b) Roll a fair die 30 times; the outcomes of these rolls are assumed to be independent. Use the central limit theorem to approximate the probability that a total > 110 is obtained. Use common sense to figure out how to do continuity correction (not using continuity correction will lose points).arrow_forwardLet S be a sample space and E and F be events associated with S. Suppose that Pr(E) = 0.5, Pr(F) = 0.3 and Pr(ENF) = 0.2. Calculate the following probabilities. (a) Pr(E|F) (b) Pr(F|E) (c) Pr(티F') (d) Pr (E'JF') ... (a) To find Pr(E|F), simplify the fraction with Pr(EnF) in the numerator and Pr(F) in the denominator. Pr(E|F) = || |(Type an integer or a simplified fraction.)arrow_forwardIt is known that 37% of new freshmen at State University will graduate within 6 years. Suppose we take a random sample of n=70 new freshmen at State University. Let X = the number of these sampled freshmen who graduate within 6 years. (Do not use a normal approximation for this problem. This is a binomial problem.) a) What is the probability that X < 29? b) What is the probability that 28 ≤ x ≤ 31? c) What is the probability that X = 31? d) What is the expected value of X? e) What is the variance of X?arrow_forwardSuppose that you enter a fantasy baseball league. Suppose that the 2021 team budget, say , is randomly drawn from a uniform distribution on the interval , where the unit is U.S. million dollars. In addition, suppose that after the value has been observed , the 2022 team budget, say , is randomly drawn from a uniform distribution on the interval . In other words, the 2022 budget is at most as large as the 2021 budget. a) For any given value of x(50<x<350), obtain E[Y|X=x] b) In view of part (a), obtain E[Y|X] c) Atlanta Braves won the 2021 World Series title. Their estimated 2022 payroll is about $130 million. Would your 2022 fantasy baseball budget be on average larger than their 2022 payroll? Explain briefly.arrow_forward1. Let be a sample space and let F be a collection of events in . (a) What special property does F have if it is a o-algebra as opposed to an algebra?arrow_forwardFor a univeraal set X= { a,b,c,d,e} of 5 kinds of features Basic probability assignment (BPA) of evidence are given by a sensor A as fallow mA({a})= 0.3, mA({a,b,c})= 0.3,mA(X)= 0.2 Here another sensor B independently has a different body of evidence MB({b})= 0.5, mB({a,b,c})= 0.3,mB(X)= 0.2 1) obtaun the combined body of evidence { FAB,mAB} from Demster- Shafers rule of combination in evidence: the combined BPAs and focal elements. 2) Find a fuzzy set of sensor B, induced Mu g(.) From the possibility hypothesisarrow_forwardarrow_back_iosarrow_forward_ios
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A First Course in Probability (10th Edition)
Probability
ISBN:9780134753119
Author:Sheldon Ross
Publisher:PEARSON