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Stats teachers’ cars A random sample of 21 AP® Statistics teachers was asked to report the age (in years) and mileage of their primary vehicles. Here is a scatterplot of the data:

Here is some computer output from a least-squares regression analysis of these data. Assume that the conditions for regression inference are met.

a. Verify that the 95%confidence interval for the slope of the population regression line is (9016.4,14,244.8).

b. A national automotive group claims that the typical driver puts 15,000miles per year on his or her main vehicle. We want to test whether AP® Statistics teachers are typical drivers. Explain why an appropriate pair of hypotheses for this test is role="math" localid="1654244859513" H0:β1=15,000versus Ha:β115,000.

c. Compute the standardized test statistic and P -value for the test in part (b). What conclusion would you draw at the α=0.05significance level?

d. Does the confidence interval in part (a) lead to the same conclusion as the test in part (c)? Explain your answer.

Short Answer

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Part (a) Step 1: Given Information

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Part (a) Step 2: Simplify

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Part (b) Step 1: Given Information

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Part (b) Step 2: Simplify

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Part (c) Step 1: Given Information

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Part (c) Step 2: Simplify

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Part (d) Step 1: Given Information

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Part (d) Step 2: Simplify

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Most popular questions from this chapter

Boyle’s law Refer to Exercise 34. Here is a graph of 1Pressureversus volume along with output from a linear regression analysis using these variables:

a. Give the equation of the least-squares regression line. Define any variables you use. b. Use the model from part (a) to predict the pressure in the syringe when the volume is 17cubic centimeters.

Could mud wrestling be the cause of a rash contracted by University of Washington students? Two physicians at the university’s student health center wondered about this when one male and six female students complained of rashes after participating in a mud-wrestling event. Questionnaires were sent to a random sample of students who participated in the event. The results, by gender, are summarized in the following table.

Here is some computer output for the preceding table. The output includes the observed counts, the expected counts, and the chi-square statistic.

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e. both (a) and (d).

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b. A plot of y against log x

c. A plot of log y against x

d. A plot of log y against log x

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a. The weight of an automobile

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A large machine is filled with thousands of small pieces of candy, 40%of which are orange. When money is deposited, the machine dispenses60randomly selected pieces of candy. The machine will be recalibrated if a group of 60candies contains fewer than18that are orange. What is the approximate probability that this will happen if the machine is working correctly?

a. P(z<0.30.4(0.4)(0.6)60)Pz&1t;0.3-0.4(0.4)(0.6)60

b.P(z<0.30.4(0.3)(0.7)60)Pz&1t;0.3-0.4(0.3)(0.7)60

d. P(z<0.3-0.4(0.4)(0.6)60)Pz&lt;0.3-0.4(0.4)(0.6)60

c. P(z<0.3-0.4(0.4)(0.6)60)

Pz&lt;0.3-0.4(0.4)(0.6)60

e. P(z<0.4-0.3(0.3)(0.7)60)Pz&lt;0.4-0.3(0.3)(0.7)60

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