Path To College Mathematics
1st Edition
ISBN: 9780134654409
Author: Martin-Gay, K. Elayn, 1955-
Publisher: Pearson,
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Chapter 7, Problem 70R
To determine
To find the probability of the given event.
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7. 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.
The college hiking club is having a fundraiser to buy new equipment for fall and winter outings. The club is selling Chinese fortune cookies at a price of $2 per cookie. Each cookie contains a piece of paper with a different number written on it. A random drawing will determine which number is the winner of a dinner for two at a local Chinese restaurant. The dinner is valued at $32. Since fortune cookies are donated to the club, we can ignore the cost of the cookies. The club sold 718 cookies before the drawing. Lisa bought 13 cookies. Lisa's expected earnings can be found by multiplying the value of the dinner by the probability that she will win. What are Lisa's expected earnings? Round your answer to the nearest cent.
The Honolulu Advertiser stated that in Honolulu there was an average of 659 burglaries per 400,000 households in a given year. In the Kohola Drive neighborhood there are 321 homes. Let r be the number of homes that will be burglarized in a year. Use the formula for Poisson distribution. What is the value of p, the probability of success, to four decimal places?
Chapter 7 Solutions
Path To College Mathematics
Ch. 7.1 - Prob. 1ESCh. 7.1 - Prob. 2ESCh. 7.1 - Prob. 3ESCh. 7.1 - Prob. 4ESCh. 7.1 - Prob. 5ESCh. 7.1 - Prob. 6ESCh. 7.1 - Prob. 7ESCh. 7.1 - Prob. 8ESCh. 7.1 - Prob. 9ESCh. 7.1 - Prob. 10ES
Ch. 7.1 - Prob. 11ESCh. 7.1 - Prob. 12ESCh. 7.1 - Prob. 13ESCh. 7.1 - Prob. 14ESCh. 7.1 - Prob. 15ESCh. 7.1 - Prob. 16ESCh. 7.1 - Prob. 17ESCh. 7.1 - Prob. 18ESCh. 7.1 - Prob. 19ESCh. 7.1 - Suppose a 6-sided die is tossed twice. (This is a...Ch. 7.1 - Prob. 21ESCh. 7.1 - Prob. 22ESCh. 7.1 - Prob. 23ESCh. 7.1 - Prob. 24ESCh. 7.1 - Solve. Current license plates in California now...Ch. 7.1 - Prob. 26ESCh. 7.1 - Although there are exceptions, the call signs for...Ch. 7.1 - Prob. 28ESCh. 7.1 - Prob. 29ESCh. 7.1 - Prob. 30ESCh. 7.1 - Prob. 31ESCh. 7.1 - Prob. 32ESCh. 7.1 - Prob. 33ESCh. 7.1 - Prob. 34ESCh. 7.1 - Prob. 35ESCh. 7.1 - Prob. 36ESCh. 7.1 - Prob. 37ESCh. 7.1 - Prob. 38ESCh. 7.1 - Prob. 39ESCh. 7.1 - Prob. 40ESCh. 7.1 - Prob. 41ESCh. 7.1 - For security purpose, a company is starting to...Ch. 7.2 - Prob. 1ESCh. 7.2 - Prob. 2ESCh. 7.2 - Prob. 3ESCh. 7.2 - Prob. 4ESCh. 7.2 - Prob. 5ESCh. 7.2 - Prob. 6ESCh. 7.2 - Prob. 7ESCh. 7.2 - Prob. 8ESCh. 7.2 - Prob. 9ESCh. 7.2 - Prob. 10ESCh. 7.2 - Prob. 11ESCh. 7.2 - Prob. 12ESCh. 7.2 - Prob. 13ESCh. 7.2 - Prob. 14ESCh. 7.2 - Prob. 15ESCh. 7.2 - Prob. 16ESCh. 7.2 - Prob. 17ESCh. 7.2 - Prob. 18ESCh. 7.2 - Prob. 19ESCh. 7.2 - Prob. 20ESCh. 7.2 - Prob. 21ESCh. 7.2 - Prob. 22ESCh. 7.2 - Prob. 23ESCh. 7.2 - Prob. 24ESCh. 7.2 - Prob. 25ESCh. 7.2 - Prob. 26ESCh. 7.2 - Prob. 27ESCh. 7.2 - Prob. 28ESCh. 7.2 - Prob. 29ESCh. 7.2 - Prob. 30ESCh. 7.2 - Prob. 31ESCh. 7.2 - Prob. 32ESCh. 7.2 - Prob. 33ESCh. 7.2 - Prob. 34ESCh. 7.2 - Prob. 35ESCh. 7.2 - Prob. 36ESCh. 7.2 - Prob. 37ESCh. 7.2 - Prob. 38ESCh. 7.2 - Prob. 39ESCh. 7.2 - Prob. 40ESCh. 7.2 - Solve. Some of these exercises may be solved using...Ch. 7.2 - Prob. 42ESCh. 7.2 - Prob. 43ESCh. 7.2 - Prob. 44ESCh. 7.2 - Prob. 45ESCh. 7.2 - Prob. 46ESCh. 7.2 - Prob. 47ESCh. 7.2 - Prob. 48ESCh. 7.2 - Prob. 49ESCh. 7.2 - Prob. 50ESCh. 7.2 - Prob. 51ESCh. 7.2 - Prob. 52ESCh. 7.2 - Prob. 53ESCh. 7.2 - Prob. 54ESCh. 7.2 - Prob. 55ESCh. 7.2 - Prob. 56ESCh. 7.2 - Prob. 57ESCh. 7.2 - Prob. 58ESCh. 7.2 - Prob. 59ESCh. 7.2 - Prob. 60ESCh. 7.2 - Is it possible to evaluate P65 Explain why or why...Ch. 7.2 - Prob. 62ESCh. 7.2 - Prob. 63ESCh. 7.2 - Prob. 64ESCh. 7.2 - Explain why P55 can be calculated but is not...Ch. 7.2 - Prob. 66ESCh. 7.2 - Prob. 67ESCh. 7.2 - Prob. 68ESCh. 7.3 - Prob. 1ESCh. 7.3 - Evaluate each combination. See Examples 2 through...Ch. 7.3 - Prob. 3ESCh. 7.3 - Prob. 4ESCh. 7.3 - Prob. 5ESCh. 7.3 - Prob. 6ESCh. 7.3 - Prob. 7ESCh. 7.3 - Prob. 8ESCh. 7.3 - Prob. 9ESCh. 7.3 - Prob. 10ESCh. 7.3 - Prob. 11ESCh. 7.3 - Prob. 12ESCh. 7.3 - Prob. 13ESCh. 7.3 - Prob. 14ESCh. 7.3 - Prob. 15ESCh. 7.3 - Prob. 16ESCh. 7.3 - Prob. 17ESCh. 7.3 - Prob. 18ESCh. 7.3 - Prob. 19ESCh. 7.3 - Prob. 20ESCh. 7.3 - Prob. 21ESCh. 7.3 - Prob. 22ESCh. 7.3 - Prob. 23ESCh. 7.3 - Prob. 24ESCh. 7.3 - Prob. 25ESCh. 7.3 - Prob. 26ESCh. 7.3 - Prob. 27ESCh. 7.3 - Prob. 28ESCh. 7.3 - Prob. 29ESCh. 7.3 - Prob. 30ESCh. 7.3 - Prob. 31ESCh. 7.3 - Prob. 32ESCh. 7.3 - Prob. 33ESCh. 7.3 - Prob. 34ESCh. 7.3 - Prob. 35ESCh. 7.3 - Prob. 36ESCh. 7.3 - Prob. 37ESCh. 7.3 - Prob. 38ESCh. 7.3 - Prob. 39ESCh. 7.3 - Prob. 40ESCh. 7.3 - Prob. 41ESCh. 7.3 - Prob. 42ESCh. 7.3 - Prob. 43ESCh. 7.3 - Prob. 44ESCh. 7.3 - Prob. 45ESCh. 7.3 - Prob. 46ESCh. 7.3 - Prob. 47ESCh. 7.3 - Prob. 48ESCh. 7.3 - Prob. 49ESCh. 7.3 - Prob. 50ESCh. 7.3 - Prob. 51ESCh. 7.3 - Prob. 52ESCh. 7.3 - Prob. 53ESCh. 7.3 - Prob. 54ESCh. 7.3 - Prob. 55ESCh. 7.3 - Prob. 56ESCh. 7.3 - Prob. 57ESCh. 7.3 - Prob. 58ESCh. 7.3 - Prob. 59ESCh. 7.3 - Prob. 60ESCh. 7.3 - Prob. 61ESCh. 7.3 - Prob. 62ESCh. 7.3 - Prob. 63ESCh. 7.3 - Prob. 64ESCh. 7.3 - Prob. 65ESCh. 7.3 - Prob. 66ESCh. 7.3 - Prob. 67ESCh. 7.3 - Prob. 1IRCh. 7.3 - Prob. 2IRCh. 7.3 - Prob. 3IRCh. 7.3 - Prob. 4IRCh. 7.3 - Prob. 5IRCh. 7.3 - Prob. 6IRCh. 7.3 - Prob. 7IRCh. 7.3 - Prob. 8IRCh. 7.3 - Prob. 9IRCh. 7.3 - Prob. 10IRCh. 7.3 - Prob. 11IRCh. 7.3 - Prob. 12IRCh. 7.3 - Prob. 13IRCh. 7.3 - Prob. 14IRCh. 7.3 - Prob. 15IRCh. 7.4 - Prob. 1ESCh. 7.4 - Prob. 2ESCh. 7.4 - Prob. 3ESCh. 7.4 - Prob. 4ESCh. 7.4 - Prob. 5ESCh. 7.4 - Prob. 6ESCh. 7.4 - Prob. 7ESCh. 7.4 - Prob. 8ESCh. 7.4 - Prob. 9ESCh. 7.4 - Prob. 10ESCh. 7.4 - Prob. 11ESCh. 7.4 - Prob. 12ESCh. 7.4 - Prob. 13ESCh. 7.4 - Prob. 14ESCh. 7.4 - Prob. 15ESCh. 7.4 - Prob. 16ESCh. 7.4 - Prob. 17ESCh. 7.4 - Prob. 18ESCh. 7.4 - Prob. 19ESCh. 7.4 - Prob. 20ESCh. 7.4 - Prob. 21ESCh. 7.4 - Prob. 22ESCh. 7.4 - Prob. 23ESCh. 7.4 - Prob. 24ESCh. 7.4 - Prob. 25ESCh. 7.4 - Prob. 26ESCh. 7.4 - Prob. 27ESCh. 7.4 - Prob. 28ESCh. 7.4 - Prob. 29ESCh. 7.4 - Prob. 30ESCh. 7.4 - Prob. 31ESCh. 7.4 - Prob. 32ESCh. 7.4 - Prob. 33ESCh. 7.4 - Prob. 34ESCh. 7.4 - Prob. 35ESCh. 7.4 - Prob. 36ESCh. 7.4 - Prob. 37ESCh. 7.4 - Prob. 38ESCh. 7.4 - Prob. 39ESCh. 7.4 - Prob. 40ESCh. 7.4 - Prob. 41ESCh. 7.4 - Prob. 42ESCh. 7.4 - Prob. 43ESCh. 7.4 - Prob. 44ESCh. 7.4 - Prob. 45ESCh. 7.4 - Prob. 46ESCh. 7.4 - Prob. 47ESCh. 7.4 - Prob. 48ESCh. 7.4 - Prob. 49ESCh. 7.4 - Prob. 50ESCh. 7.4 - Prob. 51ESCh. 7.4 - Prob. 52ESCh. 7.4 - Prob. 53ESCh. 7.4 - Prob. 54ESCh. 7.4 - Prob. 55ESCh. 7.4 - Prob. 56ESCh. 7.4 - Prob. 57ESCh. 7.4 - Prob. 58ESCh. 7.4 - Prob. 59ESCh. 7.4 - Prob. 60ESCh. 7.4 - Prob. 61ESCh. 7.4 - Prob. 62ESCh. 7.4 - Prob. 63ESCh. 7.4 - Prob. 64ESCh. 7.4 - Prob. 65ESCh. 7.4 - Prob. 66ESCh. 7.4 - Prob. 67ESCh. 7.4 - Prob. 68ESCh. 7.4 - Prob. 69ESCh. 7.4 - Prob. 70ESCh. 7.4 - Prob. 71ESCh. 7.4 - Prob. 72ESCh. 7.4 - Prob. 73ESCh. 7 - Prob. 1VCCh. 7 - Prob. 2VCCh. 7 - Prob. 3VCCh. 7 - Prob. 4VCCh. 7 - Prob. 5VCCh. 7 - Prob. 6VCCh. 7 - Prob. 7VCCh. 7 - Prob. 8VCCh. 7 - Prob. 9VCCh. 7 - Prob. 10VCCh. 7 - Prob. 11VCCh. 7 - Prob. 12VCCh. 7 - Prob. 13VCCh. 7 - Prob. 14VCCh. 7 - Prob. 15VCCh. 7 - Prob. 16VCCh. 7 - Prob. 17VCCh. 7 - Prob. 18VCCh. 7 - Prob. 19VCCh. 7 - Prob. 20VCCh. 7 - Prob. 21VCCh. 7 - Prob. 1RCh. 7 - Draw a tree diagram for each experiment. Then use...Ch. 7 - Prob. 3RCh. 7 - Prob. 4RCh. 7 - Prob. 5RCh. 7 - Prob. 6RCh. 7 - Prob. 7RCh. 7 - Prob. 8RCh. 7 - Prob. 9RCh. 7 - Prob. 10RCh. 7 - Prob. 11RCh. 7 - Prob. 12RCh. 7 - Prob. 13RCh. 7 - Prob. 14RCh. 7 - Prob. 15RCh. 7 - Prob. 16RCh. 7 - Prob. 17RCh. 7 - Prob. 18RCh. 7 - Prob. 19RCh. 7 - Prob. 20RCh. 7 - Prob. 21RCh. 7 - Prob. 22RCh. 7 - Prob. 23RCh. 7 - Prob. 24RCh. 7 - Prob. 25RCh. 7 - Prob. 26RCh. 7 - Prob. 27RCh. 7 - Prob. 28RCh. 7 - Prob. 29RCh. 7 - Prob. 30RCh. 7 - Prob. 31RCh. 7 - Prob. 32RCh. 7 - Prob. 33RCh. 7 - Prob. 34RCh. 7 - Prob. 35RCh. 7 - Prob. 36RCh. 7 - Prob. 37RCh. 7 - Prob. 38RCh. 7 - Prob. 39RCh. 7 - Prob. 40RCh. 7 - Prob. 41RCh. 7 - Prob. 42RCh. 7 - Prob. 43RCh. 7 - Prob. 44RCh. 7 - Prob. 45RCh. 7 - Prob. 46RCh. 7 - Prob. 47RCh. 7 - Prob. 48RCh. 7 - Prob. 49RCh. 7 - Prob. 50RCh. 7 - Prob. 51RCh. 7 - Prob. 52RCh. 7 - Prob. 53RCh. 7 - Prob. 54RCh. 7 - Prob. 55RCh. 7 - Prob. 56RCh. 7 - Prob. 57RCh. 7 - Prob. 58RCh. 7 - Prob. 59RCh. 7 - Prob. 60RCh. 7 - Prob. 61RCh. 7 - Prob. 62RCh. 7 - Prob. 63RCh. 7 - Prob. 64RCh. 7 - Prob. 65RCh. 7 - Prob. 66RCh. 7 - Prob. 67RCh. 7 - Prob. 68RCh. 7 - Prob. 69RCh. 7 - Prob. 70RCh. 7 - Prob. 71RCh. 7 - Prob. 72RCh. 7 - Prob. 73RCh. 7 - Prob. 74RCh. 7 - Prob. 1GRFTCh. 7 - Prob. 2GRFTCh. 7 - Prob. 3GRFTCh. 7 - Prob. 4GRFTCh. 7 - Prob. 5GRFTCh. 7 - Prob. 6GRFTCh. 7 - Prob. 7GRFTCh. 7 - Prob. 8GRFTCh. 7 - Prob. 9GRFTCh. 7 - Prob. 10GRFTCh. 7 - Prob. 11GRFTCh. 7 - Prob. 12GRFTCh. 7 - Prob. 13GRFTCh. 7 - Prob. 14GRFTCh. 7 - Prob. 1TCh. 7 - Prob. 2TCh. 7 - Prob. 3TCh. 7 - Prob. 4TCh. 7 - Prob. 5TCh. 7 - Prob. 6TCh. 7 - Prob. 7TCh. 7 - Prob. 8TCh. 7 - Prob. 9TCh. 7 - Prob. 10TCh. 7 - Prob. 11TCh. 7 - Prob. 12TCh. 7 - Prob. 13TCh. 7 - Prob. 14TCh. 7 - Prob. 15TCh. 7 - Prob. 16TCh. 7 - Prob. 17TCh. 7 - Prob. 18TCh. 7 - Prob. 19TCh. 7 - Prob. 20TCh. 7 - Prob. 21TCh. 7 - Prob. 22TCh. 7 - Prob. 23TCh. 7 - Prob. 24TCh. 7 - Prob. 25TCh. 7 - Prob. 26TCh. 7 - Prob. 27TCh. 7 - Prob. 28TCh. 7 - Prob. 29TCh. 7 - Prob. 30TCh. 7 - Prob. 31TCh. 7 - Prob. 1CRCh. 7 - Prob. 2CRCh. 7 - Prob. 3CRCh. 7 - Prob. 4CRCh. 7 - Prob. 5CRCh. 7 - Prob. 6CRCh. 7 - Prob. 7CRCh. 7 - Prob. 8CRCh. 7 - Prob. 9CRCh. 7 - Prob. 10CRCh. 7 - Prob. 11CRCh. 7 - Prob. 12CRCh. 7 - Prob. 13CRCh. 7 - Prob. 14CRCh. 7 - Prob. 15CRCh. 7 - Prob. 16CRCh. 7 - Prob. 17CRCh. 7 - Prob. 18CRCh. 7 - The Swiss Re Building, in London, is a unique...Ch. 7 - Prob. 20CRCh. 7 - Prob. 21CRCh. 7 - Prob. 22CRCh. 7 - Prob. 23CRCh. 7 - Prob. 24CRCh. 7 - Prob. 25CRCh. 7 - Prob. 26CRCh. 7 - Prob. 27CRCh. 7 - Prob. 28CRCh. 7 - Prob. 29CRCh. 7 - Prob. 30CRCh. 7 - Prob. 31CRCh. 7 - Prob. 32CR
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- The college hiking club is having a fundraiser to buy new equipment for fall and winter outings. The club is selling Chinese fortune cookies at a price of $2 per cookie. Each cookie contains a piece of paper with a different number written on it. A random drawing will determine which number is the winner of a dinner for two at a local Chinese restaurant. The dinner is valued at $32. Since fortune cookies are donated to the club, we can ignore the cost of the cookies. The club sold 718 cookies before the drawing. Lisa bought 13 cookies. Lisa's expected earnings can be found by multiplying the value of the dinner by the probability that she will win. What are Lisa's expected earnings? Round your answer to the nearest cent.arrow_forwardWhat was the age distribution of nurses in Great Britain at the time of Florence Nightingale? Thanks to Florence Nightingale and the British census of 1851, we have the following information (based on data from the classic text Notes on Nursing, by Florence Nightingale). Note: In 1851 there were 25,466 nurses in Great Britain. Furthermore, Nightingale made a strict distinction between nurses and domestic servants. Use a histogram and graph the probability distribution. Using the graph of the probability distribution determine the probability that a British nurse selected at random in 1851 would be 40 years of age or older. Round your answer to nearest thousandth. Age range (yr) 20–29 30–39 40–49 50–59 60–69 70–79 80+ Midpoint (x) 24.5 34.5 44.5 54.5 64.5 74.5 84.5 Percent of nurses 5.7% 9.7% 19.5% 29.2% 25.0% 9.1% 1.8%arrow_forwardWhat was the age distribution of nurses in Great Britain at the time of Florence Nightingale? Thanks to Florence Nightingale and the British census of 1851, we have the following information (based on data from the classic text Notes on Nursing, by Florence Nightingale). Note: In 1851 there were 25,466 nurses in Great Britain. Furthermore, Nightingale made a strict distinction between nurses and domestic servants. Use a histogram and graph the probability distribution. Using the graph of the probability distribution determine the probability that a British nurse selected at random in 1851 would be 40 years of age or older. Round your answer to nearest thousandth. Age range (yr) 20–29 30–39 40–49 50–59 60–69 70–79 80+ Midpoint (x) 24.5 34.5 44.5 54.5 64.5 74.5 84.5 Percent of nurses 5.7% 9.7% 19.5% 29.2% 25.0% 9.1% 1.8%arrow_forward
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