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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 11050 Chapter 01  An Introduction to Business Statistics 47. In performing chisquare 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 chisquare 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 chisquare 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 chisquare 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 11051 Chapter 01  An Introduction to Business Statistics 51. A special version of the chisquare 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 11052 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 chisquare test?
A. 6
B. 5
C. 2
D. 3 56. Consider the 3X2 contingency table below. At
= .05, determine the tabular value of the chisquare statistic used to test for the
independence of Factors A and B?
A. 12.6
B. 11.1
C. 7.81
D. 5.99 11053 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 039.99.
A. 10.44
B. 12.00
C. 14.56
D. 12.50 11054 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 4059.99.
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 6079.99.
A. 15.00
B. 14.56
C. 12.28
D. 9.93 11055 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 chisquare test?
A. 1
B. 4
C. 3
D. 2 11056 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 chisquare 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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 Winter '14

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