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A total of 500 married working couples were polled about their annual salaries, with the following information resulting:

For instance, in 36 of the couples, the wife earned more and the husband earned less than \( 25,000. If one of the couples is randomly chosen, what is

(a) the probability that the husband earns less than \) 25,000 ?

(b) the conditional probability that the wife earns more than \( 25,000 given that the husband earns more than this amount?

(c) the conditional probability that the wife earns more than \) 25,000 given that the husband earns less than this amount?

Short Answer

Expert verified

a. The probability that the husband earns less than $ 25,000 is 0.496.

b. The conditional probability that the wife earns more than $ 25,000 given that the husband earns more than this amount is 0.214.

c. The conditional probability that the wife earns more than $ 25,000 given that the husband earns less than this amount is0.145.

Step by step solution

01

Given Information

500married couples were surveyed about their annual earnings.

02

Formula Used 

Probability of an event=Number of favorable outcomesNumber of total outcomes

03

Calculation (Part a) 

Couples in which the husband earns less than$25,000=212+36=248

The probability that the husband earns less than $ 25,000=248500=0.496

04

Calculation (Part b)

Couples in which husbands more than$25,000=198+54=252

Couples in which the wife earns more than$25,000given the husband earns more than$25,000=54

Probability that the wife earns more than$25,000given the husband earns more than this amount=54252=314=0.214

05

Calculation (Part c)

Couples in which husbands less than$25,000=212+36=248

Couples in whichthe wife earns more than$25,000given the husband earns less than this amount=36

Probability that the wife earns more than$25,000given the husband earns less than this amount=36248=962=0.145

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Most popular questions from this chapter

Twelve percent of all U.S. households are in California. A total of 1.3 percent of all U.S. households earn more than 250,000peryear,whileatotalof3.3percentofallCaliforniahouseholdsearnmorethan250,000 per year

(a) What proportion of all non-California households earn more than \(250,000 per year?

(b) Given that a randomly chosen U.S. household earns more than \)250,000 per year, what is the probability it is a California household

A high school student is anxiously waiting to receive mail telling her whether she has been accepted to a certain college. She estimates that the conditional probabilities of receiving notification on each day of next week, given that she is accepted and that she is rejected, are as follows:

DayP(mail/accepted)P(mail/rejected)
Monday.15
.05
Tuesday.20
.10
Wednesday.25
.10
Thursday.15
.15
Friday.10
.20

She estimates that her probability of being accepted is .6.

(a) What is the probability that she receives mail on Monday?

(b) What is the conditional probability that she receives mail on Tuesday given that she does not receive mail on Monday?

(c) If there is no mail through Wednesday, what is the conditional probability that she will be accepted?

(d) What is the conditional probability that she will be accepted if mail comes on Thursday?

(e) What is the conditional probability that she will be accepted if no mail arrives that week?

Extend the definition of conditional independence to more than 2 events.


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1. Randomly choose n workers, find out how many were in the cars in which they were driven, and take the average of the n values.

2. Randomly choose n cars in the lot, find out how many were driven in those cars, and take the average of the n values

Consider3urns. An urn Acontains2white and 4red balls, an urn Bcontains 8white and 4 red balls and urn Ccontains 1white and 3red balls. If 1ball is selected from each urn, what is the probability that the ball chosen from urn Awas white given that exactly 2white balls were selected?

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