Use the following information to answer the next two exercises: The columns in Table contain the

Race/Ethnicity of U.S. Public Schools for a recent year, the percentages for the Advanced Placement Examinee Population for that class, and the Overall Student Population. Suppose the right column contains the result of a survey of 1,000 local students from that year who took an AP Exam.

Islander 10.20%5.40%113Black or African-American 8.20%14.50%94Hispanic or Latino 15.50%15.90%136 American Indian or Alaska Native0.60%1.20%10White 59.40%61.60%604Not reported/other 6.10%1.40%43

Perform a goodness-of-fit test to determine whether the local results follow the distribution of U.S. AP examinee population, based on ethnicity.

Short Answer

Expert verified

The data are insufficient to determine if the local result are representative of the AP examinee population in the U.s.. The data are insufficient to determine if the local results are representative of the AP examinee population in the U.s..

Step by step solution

01

Given Information

Given information are in the table

Total frequency is 1000

02

Explanation

Degree of freedom df = n-1

χ2=k(O-E)2E

H0=The local results follow the distribution of the U.S. AP examinee population

Ha=The local results do not follow the distribution of the U.S. AP examinee population

df =6-1=5

χ2=13.43

α=0.05

p=0.0199

When, α=0.05the null hypothesis is rejected since pequals <a. As a result, the local results do not match the distribution of the AP examinee population across the United States.

Whenα=0.01, the null hypothesis is not rejected. As a result, the data are insufficient to determine if the local results are representative of the US AP examinee population.

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Most popular questions from this chapter

State the null and alternative hypotheses?

Determine the appropriate test to be used in the next three exercises.

A personal trainer is putting together a weight-lifting program for her clients. For a 90-day program, she expects each client to lift a specific maximum weight each week. As she goes along, she records the actual maximum weights her clients lifted. She wants to know how well her expectations met with what was observed.

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?

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

A sample of 212commercial businesses was surveyed for recycling one commodity; a commodity here means any one type of recyclable material such as plastic or aluminum. Table 11.41shows the business categories in the survey, the sample size of each category, and the number of businesses in each category that recycle one commodity. Based on the study, on average half of the businesses were expected to be recycling one commodity. As a result, the last column shows the expected number of businesses in each category that recycle one commodity. At the 5% significance level, perform a hypothesis test to determine if the observed number of businesses that recycle one commodity follows the uniform distribution of the expected values.

Business
Type
Number in
class
Observed Number that recycles one commodityExpected number that recycles one commodity
office35
19
17.5
Retail/
Wholesale
48
27
24
Food/
Restaurants
53
35
26.5
Manufacturing/
Medical
52
21
26
Hotel/Mixed24
9
12

Table 11.41

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