Exam 17: Additional Tests for Nominal Data: Chi-Squared Tests
Exam 1: What Is Statistics14 Questions
Exam 2: Types of Data, Data Collection and Sampling16 Questions
Exam 3: Graphical Descriptive Methods Nominal Data19 Questions
Exam 4: Graphical Descriptive Techniques Numerical Data64 Questions
Exam 5: Numerical Descriptive Measures147 Questions
Exam 6: Probability106 Questions
Exam 7: Random Variables and Discrete Probability Distributions55 Questions
Exam 8: Continuous Probability Distributions117 Questions
Exam 9: Statistical Inference: Introduction8 Questions
Exam 10: Sampling Distributions65 Questions
Exam 11: Estimation: Describing a Single Population127 Questions
Exam 12: Estimation: Comparing Two Populations22 Questions
Exam 13: Hypothesis Testing: Describing a Single Population129 Questions
Exam 14: Hypothesis Testing: Comparing Two Populations78 Questions
Exam 15: Inference About Population Variances49 Questions
Exam 16: Analysis of Variance115 Questions
Exam 17: Additional Tests for Nominal Data: Chi-Squared Tests110 Questions
Exam 18: Simple Linear Regression and Correlation213 Questions
Exam 19: Multiple Regression121 Questions
Exam 20: Model Building92 Questions
Exam 21: Nonparametric Techniques126 Questions
Exam 22: Statistical Inference: Conclusion103 Questions
Exam 23: Time-Series Analysis and Forecasting145 Questions
Exam 24: Index Numbers25 Questions
Exam 25: Decision Analysis51 Questions
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Which of the following may be used for hypothesis tests of nominal (categorical) data?
(Multiple Choice)
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A coffee machine sales representative visits 5 businesses per day. A sample of 200 days gives the frequencies of coffee machine sales volumes listed below: Number of sales Observed frequency (days) 0 10 1 38 2 69 3 63 4 18 5 2 Assume that the population is binomially distributed with a probability of purchase p = 0.50.
Should the assumption of a binomial distribution be rejected at the 1% significance level?
(Essay)
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Which statistical technique is appropriate when we compare two or more populations of nominal data with two or more categories?
(Multiple Choice)
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The chi-squared test of a contingency table is based upon:
(Multiple Choice)
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An Australian tyre manufacturer operates a plant in Melbourne and another plant in Adelaide. Employees at each plant have been evenly divided among three issues (wages, working conditions and super benefits) in terms of which one they feel should be the primary issue in the upcoming contract negotiations. The secretary of the union has recently circulated pamphlets among the employees, attempting to convince them that super benefits should be the primary issue. A subsequent survey revealed the following breakdown of the employees according to the plant at which they worked and the issue that they felt should be supported as the primary one.
Plant Location Very interesting Fairly interesting Not interesting Melbourne 60 62 78 Adelaide 70 56 74 Do the data indicate at the 5% significance level that there are differences between the two plants regarding which issue should be the primary one?
(Essay)
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A biology professor claimed that the proportions of grades in his classes are the same. A sample of 100 students showed the following frequencies. Grade A B C D F Frequency 14 23 27 26 10 Compute the value of the test statistic.
(Essay)
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A Chi-squared test can be used to test the equality of two population means.
(True/False)
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An Australian firm has been accused of engaging in prejudicial hiring practices against women who have young children, where a young child is defined to be a child less than 12 years of age. According to the most recent census, the percentages of men, women without young children and women with young children in a certain community are 72%, 10% and 18%, respectively. A random sample of 200 employees of the firm revealed that 165 were men, 14 were women without young children and 21 were women with young children. Do the data provide sufficient evidence to conclude at the 10% level of significance that the firm has been engaged in prejudicial hiring practices?
(Essay)
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A sport preference poll showed the following data for men and women:
Gender Rugby Basketball Football Golf Tennis Male 24 17 30 18 22 Female 21 20 22 12 28
Using the 5% level of significance, test to determine whether sport preferences depend on gender.
(Essay)
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Which of the following tests do not use the Chi-squared distribution?
(Multiple Choice)
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