Deck 11: Chi-Square and Analysis of Variance

Question 1

Answer 1

Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that type of
living accommodation and gender are independent.

Question 2

Perform the indicated goodness-of-fit test. You roll a die 48 times with the following results. Use a significance level of 0.05 to test the claim that the die is fair.

Answer 2

Question 3

The following table shows the number of employees who called in sick at a business for
different days of a particular week. i)At the 0.05 level of significance, test the claim that sick days occur with equal frequency on
the different days of the week.
ii)Test the claim after changing the frequency for Saturday to 152. Describe the effect of this
outlier on the test.

Answer 3

Question 4

A researcher wishes to test the effectiveness of a flu vaccination. 150 people are vaccinated,
180 people are vaccinated with a placebo, and 100 people are not vaccinated. The number in
each group who later caught the flu was recorded. The results are shown below. Use a 0.05 significance level to test the claim that the proportion of people catching the flu is
the same in all three groups.

Question 5

Use a 0.01 significance level to test the claim that the proportion of men who plan to vote in
the next election is the same as the proportion of women who plan to vote. 300 men and 300
women were randomly selected and asked whether they planned to vote in the next election.
The results are shown below.

Question 6

Question 7

A researcher wishes to test whether the proportion of college students who smoke is the
same at four different colleges. She randomly selects 100 students from each college and
records the number that smoke. The results are shown below. Use a 0.01 significance level to test the claim that the proportion of students smoking is the
same at all four colleges.

Question 8

Explain the computation of expected values for contingency tables in terms of probabilities.
Refer to the assumptions of the null hypothesis as part of your explanation. You might give a
brief example to illustrate.

Question 9

Perform the indicated goodness-of-fit test. A company manager wishes to test a union leader's
claim that absences occur on the
different week days with the same frequencies. Test this claim at the 0.05 level of
significance if the following sample data have been compiled.

Question 10

Describe the test of homogeneity. What characteristic distinguishes a test of homogeneity from
a test of independence?

Question 11

Use the sample data below to test whether car color affects the likelihood of being in an
accident. Use a significance level of 0.01.

Question 12

The table in number 18 is called a two-way table. Why is the terminology of two-way table
used?

Question 13

A table summarizes the success and failures when subjects used different methods (yoga,
acupuncture, and chiropractor)to relieve back pain. If we test the claim at a 5% level of
significance that success is independent of the method used, technology provides a P-value of
0.0355. What does the P-value tell us about the claim?

Question 14

Among the four northwestern states, Washington has 51% of the total population, Oregon has
30%, Idaho has 11%, and Montana has 8%. A market researcher selects a sample of
1000 subjects, with 450 in Washington, 340 in Oregon, 150 in Idaho, and 60 in Montana. At
the 0.05 significance level, test the claim that the sample of 1000 subjects has a distribution
that agrees with the distribution of state populations.

Question 15

Use a 5 percent level of significance to test the null hypothesis that age and preferred
music type are independent.

Question 16

Describe a goodness-of-fit test. What assumptions are made when using a goodness-of-fit test?

Question 17

Question 18

Discuss the three characteristics of a chi-square distribution.

Question 19

According to Benford's Law, a variety of different data sets include numbers with leading
(first)digits that follow the distribution shown in the table below. Test for goodness-of-fit
with Benford's Law. When working for the Brooklyn District Attorney, investigator Robert Burton analyzed the
leading digits of the amounts from 784 checks issued by seven suspect companies. The
frequencies were found to be 0, 18, 0, 79, 476, 180, 8, 23, and 0, and those digits correspond
to the leading digits of 1, 2, 3, 4, 5, 6, 7, 8, and 9, respectively. If the observed frequencies are
substantially different from the frequencies expected with Benford's Law, the check amounts
appear to result from fraud. Use a 0.05 significance level to test for goodness-of-fit with
Benford's Law. Does it appear that the checks are the result of fraud?

Question 20

Describe the null hypothesis for the test of independence. List the assumptions for the test
of independence.

Question 21

Using the data below and a 0.05 significance level, test the claim that the responses occur with
percentages of 15%, 20%, 25%, 25%, and 15% respectively.

Question 22

Question 23

Describe the test of homogeneity. What characteristic distinguishes a test of homogeneity from
a test of independence?

Question 24

According
digits that follow the distribution shown in the table below. Test for goodness-of-fit with
Benford's Law.

Question 25

Perform the indicated goodness-of-fit test. Among the four northwestern states, Washington has
51% of the total population, Oregon has 30%, Idaho has 11%, and Montana has 8%. A market
researcher selects a sample of 1000 subjects, with 450 in Washington, 340 in Oregon, 150 in
Idaho, and 60 in Montana. At the 0.05 significance level, test the claim that the sample of 1000
subjects has a distribution that agrees with the distribution of state populations.

Question 26

A researcher wishes to test whether the proportion of college students who smoke is the same
in four different colleges. She randomly selects 100 students from each college and records
the number that smoke. The results are shown below. Use a 0.01 significance level to test the claim that the proportion of students smoking is the
same at all four colleges.

Question 27

The table in number 18 is called a two-way table. Why is the terminology of two-way table
used?

Question 28

Discuss the three characteristics of a chi-square distribution.

Question 29

Question 30

In studying the responses to a multiple-choice test question, the following sample data were
obtained. At the 0.05 significance level, test the claim that the responses occur with the same
frequency.

Question 31

Explain the computation of expected values for contingency tables in terms of probabilities.
Refer to the assumptions of the null hypothesis as part of your explanation. You might give a
brief example to illustrate.

Question 32

Define categorical data and give an example.

Question 33

Describe a goodness-of-fit test. What assumptions are made when using a goodness-of-fit test?

Question 34

Perform the indicated goodness-of-fit test. You roll a die 48 times with the following results. Use a significance level of 0.05 to test the claim that the die is fair.

Question 35

Question 36

Use a 0.01 significance level to test the claim that the proportion of men who plan to vote in
the next election is the same as the proportion of women who plan to vote. 300 men and 300
women were randomly selected and asked whether they planned to vote in the next election.
The results are shown below.

Question 37

Question 38

Describe the null hypothesis for the test of independence. List the assumptions for the test
of independence.

Question 39

A researcher wishes to test the effectiveness of a flu vaccination. 150 people are vaccinated,
180 people are vaccinated with a placebo, and 100 people are not vaccinated. The number in
each group who later caught the flu was recorded. The results are shown below.

Question 40

A table summarizes the success and failures when subjects used different methods (yoga,
acupuncture, and chiropractor)to relieve back pain. If we test the claim at a 5% level of
significance that success is independent of the method used, technology provides a P-value
of 0.0655. What does the P-value tell us about the claim?

Question 41

The following table represents the number of absences on various days of the week at an elementary school.

Question 42

For a test of independence, the population that the data has come from must be
normally distributed.

Question 43

According digits that follow the distribution shown in the table below. Test for goodness-of-fit with
Benford's Law.

Question 44

In conducting a goodness-of-fit test, a requirement is that __________________________.

A) The observed frequency must be at least five for each category.
B) The expected frequency must be at least five for each category.
C) The observed frequency must be at least ten for each category.
D) The expected frequency must be at least ten for each category.

Question 45

In studying the occurrence of genetic characteristics, the following sample data were obtained. You would like to test the claim that the characteristics occur with the same
Frequency at the 0.05 significance level.

Question 46

Which statement is not true for goodness-of -fit tests?

A) Observed frequencies must be whole numbers.
B) Expected frequencies must be whole numbers.
C) The expected frequency is found assuming that the distribution is as claimed.
D) The observed frequency is found from sample data values.

Question 47

The following table represents the number of absences on various days of the week at an elementary school. Identify the number of degrees of freedom for a goodness-of-fit test (for a uniform
Distribution), assuming a 0.05 significance level.

A) 2
B) 3
C) 4
D) 5

Question 48

Which of the following is not a characteristic of a chi-square distribution?

A) The chi-square distribution is different for each number of degrees of freedom.
B) The values of a chi-square distribution cannot be negative.
C) As the number of degrees of freedom increases, the chi-square distribution approaches a normal distribution.
D) All of the other statements are characteristics of a chi-square distribution.

Question 49

Goodness-of-fit hypothesis tests are always___________________.

A) Right-tailed
B) Left-tailed
C) Two-tailed

Question 50

While conducting a goodness-of-fit test if the observed and expected values are close, you would expect which of the following:

Question 51

At a high school debate tournament, half of the teams were asked to wear suits and ties and the rest were asked to wear jeans and t-shirts. The results are given in the table below. In
Order to test the claim at the 0.05 level that the proportion of wins is the same for teams
Wearing suits as for teams wearing jeans, what would the null hypothesis be?

A) The proportions of wins is the same for teams wearing suits as for teams wearing jeans.
B) The proportions of wins is different for teams wearing suits as for teams wearing jeans.
C) The mean number of wins is the same for teams wearing suits as for teams wearing jeans.
D) The mean number of wins is the same for teams wearing suits as for teams wearing jeans.

Question 52

At a high school debate tournament, half of the teams were asked to wear suits and ties and the rest were asked to wear jeans and t-shirts. The results are given in the table below.
Test the claim at the 0.05 level that the proportion of wins is the same for teams wearing suits
As for teams wearing jeans. What is your conclusion about the null hypothesis?

A) Fail to reject the null hypothesis.
B) Reject the null hypothesis.
C) Fail to support the null hypothesis.
D) Support the null hypothesis.

Question 53

A survey conducted in a small business yielded the results shown in the table.

Question 54

In studying the occurrence of genetic characteristics, the following sample data were obtained. You would like to test the claim that the characteristics occur with the same
Frequency at the 0.05 significance level. What is value of the test statistic?

Question 55

Question 56

For a recent year, the following are the numbers of homicides that occurred each month in New York City: 38, 30, 46, 40, 46, 49, 47, 50, 50, 42, 37, 37. Use a 0.05 significance level to test the claim that homicides in New York City are equally likely for each of the 12 months. State your
Conclusion about the claim.

A)There is sufficient evidence to warrant rejection of the claim that homicides in New York
City are equally likely for each of the 12 months.
B)There is not sufficient evidence to warrant rejection of the claim that homicides in New
York City are equally likely for each of the 12 months.
C)There is sufficient evidence to support the claim that homicides in New York City are
Equally likely for each of the 12 months.
D)There is not sufficient evidence to support the claim that that homicides in New York
City are equally likely for each of the 12 months.

Question 57

Question 58

Select the null hypothesis for a test of independence.

A) The row and column variables are independent.
B) The row and column variables are dependent.
C) The row and column variables are normally distributed.
D) The row and column variables have equal means.

Question 59

Responses to a survey question about color preference for a candy are broken down according to gender in the table given below. At the 0.05 significance level, test the claim that candy
Color preference and gender are independent. What is your conclusion about the null hypothesis and about the claim?

A) Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that candy color preference and gender are independent.
B) Reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that candy color preference and gender are independent.
C) Fail to reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that candy color preference and gender are independent.
D) Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that candy color preference and gender are independent.

Question 60

A table summarizes the success and failures when subjects used different methods (yoga, acupuncture, and chiropractor)to relieve back pain. If we test the claim at a 5% level of
Significance that success is independent of the method used, technology provides a P-value
Of 0.0355. What does the P-value tell us about the claim?

A) Since the P-value of 0.0355 is greater than 0.05, we reject the null hypothesis of independence between the treatment and whether the subject stops experiencing back
Pain. This suggests that the choice of treatment does appear to make a difference.
B) Since the P-value of 0.0355 is lower than 0.05, we fail to the null hypothesis of independence between the treatment and whether the subject stops experiencing back
Pain. This suggests that the choice of treatment does not appear to make a difference.
C) Since the P-value of 0.0355 is lower than 0.05, we reject the null hypothesis of independence between the treatment and whether the subject stops experiencing back
Pain. This suggests that the choice of treatment does not appear to make a difference.
D) Since the P-value of 0.0355 is lower than 0.05, we reject the null hypothesis of independence between the treatment and whether the subject stops experiencing back
Pain. This suggests that the choice of treatment does appear to make a difference.