Exam 15: Chi-Squared Tests

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A chi-squared distribution is symmetric.

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If we square the value of z (the test statistic in the test of a proportion) we produce the ____________________ statistic.

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For comparing two or more populations each having two or more categories, you can use which test(s)?

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There are two critical factors in identifying the technique used when the data are nominal.The first is the problem objective.The second is the number of ____________________ that nominal variable can assume.

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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 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. -{Seat Belts Narrative} Calculate the value of the test statistic.

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In a goodness-of-fit test, the null hypothesis states that the data came from a normally distributed population.The researcher estimated the population mean and population standard deviation from a sample of 500 observations.In addition, the researcher used 6 standardized intervals to test for normality.Using a 5% level of significance, the critical value for this test is:

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The chi-squared test of a(n) ____________________ is used to determine whether there is enough evidence to say two nominal variables are related.

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Which of the following tests is appropriate for nominal data if the problem objective is to compare two populations and the number of categories exceeds 2?

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How do you find the probabilities needed to obtain expected frequencies for a test of a contingency table?

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In a goodness-of-fit test, H0 lists specific values for proportions and the test of a contingency table does not.

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A small chi-squared test statistic in a goodness-of-fit test supports the null hypothesis.

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Suppose that a random sample of 60 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 10% significance level that the data were drawn from a normal population? Suppose that a random sample of 60 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 10% significance level that the data were drawn from a normal population?

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A chi-squared distribution has a shape that is ____________________.

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The alternative hypothesis in a goodness-of-fit test is that none of the pi values are equal to their values specified in H0.

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Which of the following represents H1 in a chi-squared goodness-of-fit test to see if all 5 colors of a certain candy appear in the same proportion in the population?

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A test for the differences between two proportions can be performed using the chi-squared distribution.

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If we use theIf we use the  goodness-of-fit to test for the differences among 4 proportions, the degrees of freedom is equal to: goodness-of-fit to test for the differences among 4 proportions, the degrees of freedom is equal to:

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Consider a multinomial experiment involving 100 trials and 3 categories (cells).The observed frequencies resulting from the experiment are shown in the accompanying table. Consider a multinomial experiment involving 100 trials and 3 categories (cells).The observed frequencies resulting from the experiment are shown in the accompanying table.     Use the 5% significance level to test the hypotheses H<sub>0</sub>: p<sub>1</sub> = .45, p<sub>2</sub> = .30, p<sub>3</sub> = .25 vs.H<sub>1</sub>: At least one proportion differs from their specified values. Use the 5% significance level to test the hypotheses H0: p1 = .45, p2 = .30, p3 = .25 vs.H1: At least one proportion differs from their specified values.

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Suppose the value of your chi-squared test statistic in a goodness-of-fit test is equal to 0.What do you conclude?

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Which of the following tests does not use the chi-squared distribution?

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