Exam 15: Chi-Squared Tests
Exam 1: What Is Statistics46 Questions
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Exam 12: Inference About a Population153 Questions
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Exam 15: Chi-Squared Tests179 Questions
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Seat Belts
A study was conducted to determine whether the use of seat belts in vehicles depends on whether or not a child was present in the car.A sample of 1,000 people treated for injuries sustained from vehicle accidents was obtained,and each person was classified according to (1)child present (yes/no)and (2)seat belt usage (worn or not worn)during the accident.The data are shown in the table below.
-{Seat Belts Narrative} Prepare the table of expected values.

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(Essay)
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Correct Answer:
A chi-squared goodness-of-fit test is always conducted as a(n):
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Correct Answer:
B
Seat Belts
A study was conducted to determine whether the use of seat belts in vehicles depends on whether or not a child was present in the car.A sample of 1,000 people treated for injuries sustained from vehicle accidents was obtained,and each person was classified according to (1)child present (yes/no)and (2)seat belt usage (worn or not worn)during the accident.The data are shown in the table below.
-{Seat Belts Narrative} Calculate the value of the test statistic.

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(Short Answer)
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Correct Answer:
χ2 = 26.016
The only way the chi-squared test statistic can be zero is if the observed frequencies are all exactly the same as the expected frequencies.
(True/False)
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The owner of a consumer products company asked a random sample of employees how they felt about the work they were doing.The following table gives a breakdown of their responses by age.Is there sufficient evidence to conclude that the level of job satisfaction is related to age? Use α = .10. 

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If two events A and B are independent,the P(A and B)= P(A)+ P(B).
(True/False)
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A chi-squared test of a contingency table with 10 degrees of freedom results in a test statistic of 17.894.Using the chi-squared table,the most accurate statement that can be made about the p-value for this test is that .05 < p-value < .10.
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In the test of a contingency table,the observed cell frequencies must satisfy the rule of 5.
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The sampling distribution of the test statistic for a goodness-of-fit test with k categories is a:
(Multiple Choice)
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In the test of a contingency table,the expected cell frequencies must satisfy the rule of 5.
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Seat Belts
A study was conducted to determine whether the use of seat belts in vehicles depends on whether or not a child was present in the car.A sample of 1,000 people treated for injuries sustained from vehicle accidents was obtained,and each person was classified according to (1)child present (yes/no)and (2)seat belt usage (worn or not worn)during the accident.The data are shown in the table below.
-{Seat Belts Narrative} State the appropriate null and alternative hypotheses for this experiment.

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The number of degrees of freedom in testing for normality is the:
(Multiple Choice)
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If we want to perform a two-tail test for differences between two populations of nominal data with exactly two categories,we can employ either the z-test of p1 − p2,or the chi-squared test of a contingency table.
(True/False)
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Suppose that a random sample of 150 observations was drawn from a population.After calculating the mean and standard deviation,each observation was standardized and the number of observations in each of the intervals below was counted.Can we infer at the 5% significance level that the data were drawn from a normal population? 

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A left-tailed area in the chi-squared distribution equals .90.For 10 degrees of freedom the table value equals 15.9871.
(True/False)
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The rule of five states that in order to conduct the chi-squared goodness-of-fit test,the ____________________ value for each cell must be five or more.
(Short Answer)
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Consider a multinomial experiment with 200 trials,where the outcome of each trial is classified into one of 5 categories.The number of degrees of freedom associated with the chi-squared goodness-of-fit test equals:
(Multiple Choice)
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The number of ATVs sold by three salespersons over a 3-month period is shown below:
Use the 5% level of significance and test for the independence of salesperson and type of product sold.

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