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Chi-Square Test — Test Answers

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1
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Are the conditions for inference met?

A
All conditions for inference are met.
B
No, the 10 percent condition is not met.
C
No, the Large Counts condition is not met since all expected counts are not greater than 5 .
D
No, the data do not come from a random sample.
2
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Are the conditions for inference met?

A
All conditions for inference are met.
B
No, the 10 percent condition is not met.
C
No, the data do not come from a random sample.
D
No, the Large Counts condition is not met since all expected counts are not greater than 5 .
4

For which cells do we observe more employees than expected?

A
More sick people than expected say that they ate the potato salad, and more non-sick people than expected say that they ate the potato salad.
B
More sick people than expected say that they did not eat the potato salad, and more non-sick people than expected say that they did not eat the potato salad.
C
More sick people than expected say that they ate the potato salad, and more non-sick people than expected say that they did not eat the potato salad.
D
More sick people than expected say that they did not eat the potato salad, and more non-sick people than expected say that they ate the potato salad.
5

The city planner would like to know if there is a difference in the distribution of commute distance for the populations of all people who live in the city, in a rural community, and in the suburbs. What are the appropriate hypotheses?

A
cap h sub 0 : There is a difference in the distribution of commute distance for the populations of all people who live in the city, in a rural community, and in the suburbs. cap h sub A : There is no difference in the distribution of commute distance for the populations of all people who live in the city, in a rural community, and in the suburbs.
B
cap h sub 0 : There is no difference in the distribution of commute distance for the populations of all people who live in the city, in a rural community, and in the suburbs. cap h sub A : There is a difference in the distribution of commute distance for the populations of all people who live in the city, in a rural community, and in the suburbs.
C
cap h sub 0 : Location of residence and commute distance are not independent. cap h sub A : Location of residence and commute distance are independent.
D
cap h sub 0 : Location of residence and commute distance are independent. cap h sub A : Location of residence and commute distance are not independent.
7

Based upon the follow-up analysis, why was the null hypothesis rejected?

A
The doctor was off track. She should have hypothesized that births are equally likely for all days of the week.
B
Although births are less likely on the weekends, births are more than twice as likely during the week.
C
The doctor was off track. She should have hypothesized that babies are twice as likely to be born on a weekend (Saturday and Sunday) than on a weekday (Monday through Friday).
D
Although births are less likely on the weekdays, births are more than twice as likely during the weekend.
8

The conditions for inference are met. The chi-square test statistic is chi squared is equal to 22 point 2 1 What conclusion should be made? Use alpha is equal to 0 point 0 5 Use the chi-square table.

A
Because the cap p -value is greater than alpha is equal to 0 point 0 5 , there is convincing evidence of a difference in the distribution of job status for all 9th, 10th, 11th, and 12th graders at this high school.
B
Because the cap p -value is less than alpha is equal to 0 point 0 5 , there is not convincing evidence of a difference in the distribution of job status for all 9th, 10th, 11th, and 12th graders at this high school.
C
Because the cap p -value is less than alpha is equal to 0 point 0 5 , there is convincing evidence of a difference in the distribution of job status for all 9th, 10th, 11th, and 12th graders at this high school.
D
Because the cap p -value is greater than , there is not convincing evidence of a difference in the distribution of job status for all 9th, 10th, 11th, and 12th graders at this high school.
9

What is the value of the chi-square test statistic?

A
chi squared is equal to 5 point 0 3
B
chi squared is equal to 39 point 2 2
C
chi squared is equal to 6 point 2 6
D
chi squared is equal to 25 point 3 3
11

What is the value of the chi-square test statistic for this test?

A
chi squared is equal to 77 point 1 8
B
chi squared is equal to 252 point 4 6
C
chi squared is equal to 8 point 7 9
D
chi squared is equal to 15 point 8 9
12

The doctor would like to know if these data provide convincing evidence that the distribution of responses differs across the treatment groups in the population of all patients like these. What is the appropriate inference procedure?

A
chi-square test for association/independence because the data come from independent treatment groups
B
chi-square test for homogeneity because the data come from independent treatment groups
C
chi-square test for association/independence because the data come from one random sample
D
chi-square test for goodness of fit because the data come from one random sample
13

The health inspector would like to know if these data provide convincing evidence that the distribution of strep throat status differs across the departments in the population of all workers of this large company. Are the conditions for inference met?

A
No, the Large Counts condition is not met.
B
No, the random condition is not met.
C
No, the 10 percent condition is not met.
D
Yes, all three conditions for inference are met.
16

Is there an association between grade level and whether the student makes their bed in the morning? To investigate, the principal at a large high school selects a random sample of 84 students and classifies them as being in ninth, tenth, eleventh, or twelfth grade, and whether they make their bed. He would like to determine if there is convincing evidence of an association. Let alpha is equal to 0 point 0 5 What are the hypotheses for this test?

A
cap h sub 0 : There is an association between grade level and whether the student makes their bed in the morning. cap h sub A : There is no association between grade level and whether the student makes their bed in the morning.
B
cap h sub 0 : There is no difference in the distribution of grade level and whether the student makes their bed in the morning. cap h sub A : There is a difference in the distribution of grade level and whether the student makes their bed in the morning.
C
cap h sub 0 : There is no association between grade level and whether the student makes their bed in the morning. cap h sub A : There is an association between grade level and whether the student makes their bed in the morning.
D
cap h sub 0 : There is a difference in the distribution of grade level and whether the student makes their bed in the morning. cap h sub A : There is no difference in the distribution of grade level and whether the student makes their bed in the morning.
19

After peering into a wishing well, Jocelyn hypothesizes that the distribution of coins is 50 percent quarters, 20 percent dimes, 20 percent nickels, and 10 percent pennies. To investigate this claim, she reaches in, mixes the coins well, and selects a random sample of 80 coins. She counts how many coins there are of each type. She would like to know if her observed distribution provides convincing evidence that the true distribution of coins in the well is different from what she originally thought. What are the appropriate hypotheses?

A
cap h sub 0 : Not all of the p sub i 's are as stated. cap h sub A : p sub quarter is equal to 0 point 5 , p sub dime is equal to 0 point 2 , p sub nickel is equal to 0 point 2 , p sub penny is equal to 0 point 1
B
cap h sub 0 : p sub quarter is equal to 0 point 5 , p sub dime is equal to 0 point 2 , p sub nickel is equal to 0 point 2 , p sub penny is equal to 0 point 1 cap h sub A : Not all of the p sub i 's are as stated.
C
cap h sub 0 : p sub quarter is equal to 40 , p sub dime is equal to 16 , p sub nickel is equal to 16 , p sub penny is equal to 8 cap h sub A : p sub quarter is not equal to 40 , p sub dime is not equal to 16 , p sub nickel is not equal to 16 , p sub penny is not equal to 8
D
cap h sub 0 : p sub quarter is not equal to 40 , p sub dime is not equal to 16 , p sub nickel is not equal to 16 , p sub penny is not equal to 8 cap h sub A : p sub quarter is equal to 40 , p sub dime is equal to 16 , p sub nickel is equal to 16 , p sub penny is equal to 8
20

Which of these contributed the most to the value of the chi squared statistic?

A
not average weight and Brand B
B
average weight and Brand A
C
average weight and Brand B
D
not average weight and Brand A
22

The conditions for inference are met. What is the value of the chi-square test statistic and what are the degrees of freedom for this test?

A
chi squared is equal to 7 point 4 7 , df is equal to 8
B
chi squared is equal to 55 point 8 6 , df is equal to 8
C
chi squared is equal to 7 point 4 7 , df is equal to 4
D
chi squared is equal to 55 point 8 6 , df is equal to 4

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