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A survey asked a random sample of U.S. adults about their political party affiliation and how long they thought they would survive compared to most people in their community if an apocalyptic disaster were to strike. The responses are summarized in the following two-way table.

Suppose we select one of the survey respondents at random. Which of the following probabilities is the largest?

a. P(Independent and Longer)

b. P(Independent or Not as long)

c. P(Democrat 3051526=0.200=20.0%| Not as long)

d. P(About as long 3051526=0.200=20.0%| Democrat)

e. P(About as long)

Short Answer

Expert verified

The answer would be:

b. P(Independent or Not as long)

Step by step solution

01

 Step 1: Given information 

We have to tell probabilities is the largest.

02

Explanation 

The table has 360Democrats (since360is indicated in the row "Total" and the column "Democrat" of the given table), with 169of the 360Democrats projected to live about as long as the rest of the population (since168is mentioned in the row "About as long" and in the column "Democrat" of the given table).

The table comprises 998U.S. adults in total (which is stated in the bottom right corner of the table), with 416of those 998U.S. adults being Independent and anticipated to live about as long as the average American adult (since 416is mentioned in the row "About as long" and in the column "Total" of the given table).

P(About as longDemocrat)=#of favorable outcomes#of possible outcomes=1693600.4694

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Most popular questions from this chapter

A large toy company introduces many new toys to its product line each year. The

company wants to predict the demand as measured by y, first-year sales (in millions of dollars) using x, awareness of the product (as measured by the percent of customers who had heard of the product by the end of the second month after its introduction). A random sample of 65new products was taken, and a correlation of 0.96was computed. Which of the following is true?

a. The least-squares regression line accurately predicts first-year sales 96% of the time.

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c. About 92% of first-year sales can be accounted for by the percent of people who have heard of the product by the end of the second month.

d. For each increase of 1% in awareness of the new product, the predicted sales will go up by 0.96 million dollars.

e. About 92% of the variation in first-year sales can be accounted for by the leastsquares regression line with the percent of people who have heard of the product by the end of the second month as the explanatory variable.

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(b) It is multiplied by 2.

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a. You could use the information on the Coached line to carry out either a two-sample t test comparing Try 1 with Try 2 or a paired t test using Gain. Which is the correct test? Why?

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