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The average waiting time in a doctor’s office varies. The standard deviation of waiting times in a doctor’s office is 3.4 minutes. A random sample of 30 patients in the doctor’s office has a standard deviation of waiting times of 4.1 minutes. One doctor believes the variance of waiting times is greater than originally thought.

What type of test should be used?

Short Answer

Expert verified

A test of single variance should be used.

Step by step solution

01

Given Information

The average waiting time in a doctor’s office varies. The standard deviation of waiting times in a doctor’s office is 3.4 minutes. A random sample of 30 patients in the doctor’s office has a standard deviation of waiting times of 4.1 minutes .

02

Explanation

We have to find what type of test should be used:

The average waiting time in a doctor’s office varies.

The standard deviation of waiting times in a doctor’s office is 3.4minutes.

A random sample of 30patients in the doctor’s office has a standard deviation of waiting times of 4.1minutes.

We have learned that, the chi-square examination for single variance can be used where population variance is similar to some selected values.

Therefore, a test of single variance should be applied here.

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Most popular questions from this chapter

Suppose that 600thirty-year-olds were surveyed to determine whether or not there is a relationship between the level of education an individual has and salary. Conduct a test of independence

AnnualSalaryNot a high schoolgraduateHigh schoolgraduateCollegegraduateMasters ordoctorate<\(30,0001525105\)30,000-\(40,00020407030\)40,000-\(50,00010204055\)50,000-\(60,0005102060\)60,000+0510150

use a solution sheet to solve the hypothesis test problem. Go to Appendix E for the chi-square solution sheet. Round expected frequency to two decimal places car manufacturers are interested in whether there is a relationship between the size of the car an individual drives and the number of people in the driver’s family (that is, whether car size and family size are independent).To test this, suppose that 800car owners were randomly surveyed with the results in Table 11.44. Conduct a test of independence.

Family SizeSub & CompactMid-sizeFull-sizeVan & Truck
1
20
35
40
35
2
20
50
70
80
3-4
20
50
100
90
5+
20
30
70
70

Table 11.44

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Table11.42

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