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Unformatted text preview: nt data that can be classified into one of two mutually exclusive categories, ______________________ distribution describes count data that is classified into more than two mutually exclusive categories. A. normal B. skewed C. uniform D. multinomial 1-1050 Chapter 01 - An Introduction to Business Statistics 47. In performing chi-square goodness fit test for a normal distribution, a researcher wants to make sure that all of the expected cell frequencies are at least five. The sample is divided into 7 intervals. The second through the sixth interval all have expected cell frequencies of at least five. The first and the last intervals have expected cell frequencies of 1.5 each. After adjusting the number of intervals, degrees of freedom for the chi-square statistic is ____. A. 2 B. 3 C. 5 D. 7 48. As the difference between observed frequency and expected frequency _______________, the probability of rejecting the null hypothesis increases. A. stays the same B. decreases C. increases D. go to 0 49. In performing a chi-square test of independence, as the difference between respective observed and expected frequencies _________, the probability of concluding that the row variable is independent of the column variable increases. A. stay the same B. decrease C. increase D. double 50. In performing a chi-square goodness of fit test with multinomial probabilities, the ___________ the difference between observed and expected frequencies, the higher the probability of concluding that the probabilities specified in the null hypothesis is correct. A. larger B. smaller 1-1051 Chapter 01 - An Introduction to Business Statistics 51. A special version of the chi-square goodness of fit test that involves testing the null hypothesis that all of the multinomial probabilities are equal is called the test for ___________. A. goodness of fit B. statistical independence C. normality D. homogeneity 52. Consider the 3X2 contingency table below. Compute the expected frequencies in row 1. A. 16, 14 B. 20, 30 C. 12, 18 D. 15, 15 53. Consider the 3X2 contingency table below. Compute the expected frequencies in row 2. A. 16, 24 B. 15, 25 C. 20, 20 D. 20, 30 1-1052 Chapter 01 - An Introduction to Business Statistics 54. Consider the 3X2 contingency table below. Compute the expected frequencies in row 3. A. 20, 30 B. 15, 15 C. 12, 18 D. 9, 21 55. Consider the 3X2 contingency table below. How many degrees of freedom are associated with the chi-square test? A. 6 B. 5 C. 2 D. 3 56. Consider the 3X2 contingency table below. At = .05, determine the tabular value of the chi-square statistic used to test for the independence of Factors A and B? A. 12.6 B. 11.1 C. 7.81 D. 5.99 1-1053 Chapter 01 - An Introduction to Business Statistics 57. Consider the 3X2 contingency table below. At a significance level of .05, test H0: the factors A and B are independent. A. Reject H0 B. Fail to reject H0 58. Consider a set of 50 measurements with mean 50.2 and standard deviation 18.7 and with the following observed frequencies. It is desired to test whether these measurements came from a normal population. Calculate the expected frequency for the interval 0-39.99. A. 10.44 B. 12.00 C. 14.56 D. 12.50 1-1054 Chapter 01 - An Introduction to Business Statistics 59. Consider a set of 50 measurements with mean 50.2 and standard deviation 18.7 and with the following observed frequencies. It is desired to test whether these measurements came from a normal population. Calculate the expected frequency for the interval 40-59.99. A. 20.37 B. 18.00 C. 14.56 D. 12.50 60. Consider a set of 50 measurements with mean 50.2 and standard deviation 18.7 and with the following observed frequencies. It is desired to test whether these measurements came from a normal population. Calculate the expected frequency for the interval 60-79.99. A. 15.00 B. 14.56 C. 12.28 D. 9.93 1-1055 Chapter 01 - An Introduction to Business Statistics 61. Consider a set of 50 measurements with mean 50.2 and standard deviation 18.7 and with the following observed frequencies. It is desired to test whether these measurements came from a normal population. Calculate the expected frequency for the interval 80 and higher. A. 5.00 B. 12.50 C. 2.80 D. 22.21 62. Consider a set of 50 measurements with mean 50.2 and standard deviation 18.7 and with the following observed frequencies. It is desired to test whether these measurements came from a normal population. How many degrees of freedom are associated with the chi-square test? A. 1 B. 4 C. 3 D. 2 1-1056 Chapter 01 - An Introduction to Business Statistics 63. Consider a set of 50 measurements with mean 50.2 and standard deviation 18.7 and with the following observed and expected frequencies. It is desired to test whether these measurements came from a normal population. Calculate the value of the chi-square test statistic? A. 2.32 B. 3.07 C. 1.30 D. 0.72 64. Consider a set of 50 measurements with mean 50.2 and standard deviation 18.7 and with the following observed and expected frequencies. It is desir...
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This document was uploaded on 01/20/2014.

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