APPLIED STAT.IN BUS.+ECONOMICS
6th Edition
ISBN: 9781259957598
Author: DOANE
Publisher: RENT MCG
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Chapter 16, Problem 11CR
(a) Why is a significant
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Based on a poll, among adults who regret getting tattoos, 28%
say that they were too young when they got their tattoos.
Assume that six adults who regret getting tattoos are
randomly selected, and find the indicated probability. Complete
parts (a) through (d) below.
a. Find the probability that none of the selected adults say that
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0.0520 (Round to four decimal places as needed.)
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Draw a picture of a normal distribution with
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Chapter 16 Solutions
APPLIED STAT.IN BUS.+ECONOMICS
Ch. 16.2 - Prob. 1SECh. 16.2 - Prob. 2SECh. 16.2 - Prob. 3SECh. 16.2 - Prob. 4SECh. 16.3 - A sample of 28 student scores on the chemistry...Ch. 16.3 - Prob. 6SECh. 16.4 - Prob. 7SECh. 16.4 - Prob. 8SECh. 16.5 - Prob. 9SECh. 16.5 - The results shown below are mean productivity...
Ch. 16.6 - Consumers are asked to rate the attractiveness of...Ch. 16.6 - Prob. 12SECh. 16.7 - Prob. 13SECh. 16.7 - Prob. 14SECh. 16 - Prob. 1CRCh. 16 - Prob. 2CRCh. 16 - Prob. 3CRCh. 16 - Prob. 4CRCh. 16 - Prob. 5CRCh. 16 - Prob. 6CRCh. 16 - Prob. 7CRCh. 16 - Prob. 8CRCh. 16 - Prob. 9CRCh. 16 - Prob. 10CRCh. 16 - (a) Why is a significant correlation not proof of...Ch. 16 - Prob. 15CECh. 16 - Prob. 16CECh. 16 - Prob. 17CECh. 16 - Prob. 18CECh. 16 - Prob. 19CECh. 16 - Instructions: In all exercises, you may use a...Ch. 16 - Prob. 21CECh. 16 - Prob. 22CECh. 16 - Prob. 23CECh. 16 - Prob. 24CECh. 16 - Prob. 25CECh. 16 - Instructions: In all exercises, you may use a...Ch. 16 - Prob. 27CECh. 16 - Instructions: In all exercises, you may use a...Ch. 16 - Prob. 29CECh. 16 - Prob. 30CECh. 16 - Prob. 31CECh. 16 - Prob. 32CECh. 16 - Prob. 33CECh. 16 - Prob. 34CECh. 16 - Instructions: In all exercises, you may use a...Ch. 16 - Prob. 36CECh. 16 - Prob. 37CE
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- 24. An insurance company offers its policyholders a num- ber of different premium payment options. For a ran- domly selected policyholder, let X = the number of months between successive payments. The cdf of X is as follows: F(x)=0.00 : x < 10.30 : 1≤x<30.40 : 3≤ x < 40.45 : 4≤ x <60.60 : 6≤ x < 121.00 : 12≤ x a. What is the pmf of X?b. Using just the cdf, compute P(3≤ X ≤6) and P(4≤ X).arrow_forward59. At a certain gas station, 40% of the customers use regular gas (A1), 35% use plus gas (A2), and 25% use premium (A3). Of those customers using regular gas, only 30% fill their tanks (event B). Of those customers using plus, 60% fill their tanks, whereas of those using premium, 50% fill their tanks.a. What is the probability that the next customer will request plus gas and fill the tank (A2 B)?b. What is the probability that the next customer fills the tank?c. If the next customer fills the tank, what is the probability that regular gas is requested? Plus? Premium?arrow_forward38. Possible values of X, the number of components in a system submitted for repair that must be replaced, are 1, 2, 3, and 4 with corresponding probabilities .15, .35, .35, and .15, respectively. a. Calculate E(X) and then E(5 - X).b. Would the repair facility be better off charging a flat fee of $75 or else the amount $[150/(5 - X)]? [Note: It is not generally true that E(c/Y) = c/E(Y).]arrow_forward
- 74. The proportions of blood phenotypes in the U.S. popula- tion are as follows:A B AB O .40 .11 .04 .45 Assuming that the phenotypes of two randomly selected individuals are independent of one another, what is the probability that both phenotypes are O? What is the probability that the phenotypes of two randomly selected individuals match?arrow_forward53. A certain shop repairs both audio and video compo- nents. Let A denote the event that the next component brought in for repair is an audio component, and let B be the event that the next component is a compact disc player (so the event B is contained in A). Suppose that P(A) = .6 and P(B) = .05. What is P(BA)?arrow_forward26. A certain system can experience three different types of defects. Let A;(i = 1,2,3) denote the event that the sys- tem has a defect of type i. Suppose thatP(A1) = .12 P(A) = .07 P(A) = .05P(A, U A2) = .13P(A, U A3) = .14P(A2 U A3) = .10P(A, A2 A3) = .011Rshelfa. What is the probability that the system does not havea type 1 defect?b. What is the probability that the system has both type 1 and type 2 defects?c. What is the probability that the system has both type 1 and type 2 defects but not a type 3 defect? d. What is the probability that the system has at most two of these defects?arrow_forward
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