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Choose an American adult at random. The probability that you choose a woman is 0.52 The probability that the person you choose has never married is 0.25 The probability that you choose a woman who has never married is 0.11. The probability that the person you choose is either a woman or has never been married (or both) is therefore about (a)0.77.(b)0.66.(c)0.44.(d)0.38.(e)0.13.

Short Answer

Expert verified

The correct option is (b)0.66

Step by step solution

01

Step 1. Given

The woman has a probability of 0.52

0.25chance of never marrying.

Women who have never married have a probability of 0.11

02

Step 2. Concept

The probability of an event=numberoffavourableoutcomestotalnumberofoutcomes

03

Step 3. Calculation

The likelihood of a randomly selected individual never marrying or being a woman can be computed as follows:P(Nevermarriedorwoman)=P(Nevermarried)+P(woman)P(NevermarriedandWoman)=0.25+0.520.11=0.66

As a result, 0.66 is the required probability.

As a result, the correct option is (b).

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Most popular questions from this chapter

Playing “Pick 4” The Pick 4games in many state lotteries announce a four-digit winning number each day. You can think of the winning number as a four-digit group from a table of random digits. You win (or share) the jackpot if your choice matches the winning number. The winnings are divided among all players who matched the winning number. That suggests a way to get an edge.

(a) The winning number might be, for example, either 2873or 9999. Explain why these two outcomes have exactly the same probability.

(b) If you asked many people whether 2873 or 9999 is more likely to be the randomly chosen winning number, most would favor one of them. Use the information in this section to say which one and to explain why. How might this affect the four-digit number you would choose?

Say in plain language what the eventAorBis.WhatisP(AorB)?

Find P(E|L) and P(L|E) Which of these conditional probabilities tells you whether this college’s EPS students tend to earn lower grades than students in liberal arts and social sciences? Explain.

Simulation blunders Explain what’s wrong with each of the following simulation designs.

(a) According to the Centers for Disease Control and Prevention, about 26%of U.S. adults were obese in 2008. To simulate choosing 8adults at random and seeing how many are obese, we could use two digits. Let 01to 26represent obese and 27to 00represents not obese. Move across a row in Table D, two digits at a time, until you find 8 distinct numbers (no repeats). Record the number of obese people selected.

(b) Assume that the probability of a newborn being a boy is 0.5. To simulate choosing a random sample of 9babies who were born at a local hospital today and observing their gender, use one digit. Use ran dint (0,9) on your calculator to determine how many babies in the sample are male.

Explain why events A and B are mutually exclusive

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