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11.3 Test of Independence

Using a contingency table from a single sample to test whether two factors are related, with expected counts built from the row and column totals.

Statistics, 11.3 Test of Independence

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23 exercises

11.3 Exercise 1

A sample of 300 students is taken. Of the students surveyed, 50 were music students, while 250 were not. 97 were on the honor roll, while 203 were not. If we assume being a music student and being on the honor roll are independent events, what is the expected number of music students who are also on the honor roll?

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11.3 Exercise 4

a. How many high anxiety level students are expected to have a high need to succeed in school?

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11.3 Exercise 5

b. If the two variables are independent, how many students do you expect to have a low need to succeed in school and a med-low level of anxiety?

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11.3 Exercise 6

c. E=(row total)(column total) total surveyedE = \frac{(\text{row total})(\text{column total})}{\text{total surveyed}} = ________

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11.3 Exercise 7

d. The expected number of students who have a med-low anxiety level and a low need to succeed in school is about ________.

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11.3 Exercise 8

Refer back to the information in the note. How many services-providing jobs are there expected to be in 2020? How many nonagriculture wage and salary jobs are there expected to be in 2020?

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11.3 Exercise 9

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

A pharmaceutical company is interested in the relationship between age and presentation of symptoms for a common viral infection. A random sample is taken of 500 people with the infection across different age groups.

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11.3 Exercise 11

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

A marathon runner is interested in the relationship between the brand of shoes runners wear and their run times. She takes a random sample of 50 runners and records their run times and the brand of shoes they were wearing.

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11.3 Exercise 13

df = _______

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11.3 Exercise 15

How many passengers are expected to travel between 401 and 500 miles and purchase first-class tickets?

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11.3 Exercise 17

What is the p-value?

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11.3 Exercise 19


Use the following information to answer the next ten exercises. An article in the New England Journal of Medicine discussed a study on people who used a certain product in California and Hawaii. In one part of the report, the self-reported ethnicity and product-use levels per day were given. Of the people using the product at most 10 times per day, there were 9,886 African Americans, 2,745 Native…

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11.3 Exercise 21


Use the following information to answer the next ten exercises. An article in the New England Journal of Medicine discussed a study on people who used a certain product in California and Hawaii. In one part of the report, the self-reported ethnicity and product-use levels per day were given. Of the people using the product at most 10 times per day, there were 9,886 African Americans, 2,745 Native…

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11.3 Exercise 23


Use the following information to answer the next ten exercises. An article in the New England Journal of Medicine discussed a study on people who used a certain product in California and Hawaii. In one part of the report, the self-reported ethnicity and product-use levels per day were given. Of the people using the product at most 10 times per day, there were 9,886 African Americans, 2,745 Native…

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11.3 Exercise 25


Use the following information to answer the next ten exercises. An article in the New England Journal of Medicine discussed a study on people who used a certain product in California and Hawaii. In one part of the report, the self-reported ethnicity and product-use levels per day were given. Of the people using the product at most 10 times per day, there were 9,886 African Americans, 2,745 Native…

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11.3 Exercise 27

State the decision and conclusion (in a complete sentence) for the following levels of α.

α = 0.05

  1. Decision: ___________________
  2. Reason for the decision: ___________________
  3. Conclusion (write out in a complete sentence): ___________________
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11.3 Exercise 30

For each problem, 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 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…

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11.3 Exercise 32

For each problem, 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.

Some travel agents claim that honeymoon hotspots vary according to age of the bride. Suppose that 280 recent brides were interviewed as to where they spent their honeymoons. The information is given in the table. Conduct a…

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11.3 Exercise 34

For each problem, 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.

A major food manufacturer is concerned that the sales for its skinny french fries have been decreasing. As a part of a feasibility study, the company conducts research into the types of fries sold across the country to dete…

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11.3 Exercise 36

For each problem, 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.

Suppose that 600 thirty-year-olds were surveyed to determine whether there is a relationship between the level of education an individual has and salary. Conduct a test of independence.

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11.3 Exercise 38

Read the statement and decide whether it is true or false.

The test for independence uses tables of observed and expected data values.

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11.3 Exercise 40

Read the statement and decide whether it is true or false.

In a test of independence, the expected number is equal to the row total multiplied by the column total divided by the total surveyed.

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11.3 Exercise 42

Read the statement and decide whether it is true or false.

the table provides results of a recent survey of the youngest online entrepreneurs whose net worth is estimated at one million dollars or more. Their ages range from 17 to 30. Each cell in the table illustrates the number of entrepreneurs who correspond to the specific age group and their net worth. Are the ages and net worth independent?…

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Adapted from Statistics © 2022 Rice University. Licensed under CC BY 4.0. Source: Statistics. Imported at revision 7dea80a.