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Which of the following is an example of a parameter?

A)
Sample standard deviation.
B)
Population variance.
C)
Sample mean.



A parameter is any descriptive measure of a population characteristic. The population variance describes a population while the sample standard deviation and sample mean are each descriptive measures of samples.

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Which of the following statements regarding various statistical measures is least accurate?

A)
The correlation coefficient is calculated by dividing the covariance of two random variables by the product of their standard deviations.
B)
The coefficient of variation is calculated by dividing the mean by the standard deviation.
C)
Variance equals the sum of the squared deviations from the mean times the probability that that each outcome will occur.

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Which of the following statements regarding various statistical measures is least accurate?

A)
The correlation coefficient is calculated by dividing the covariance of two random variables by the product of their standard deviations.
B)
The coefficient of variation is calculated by dividing the mean by the standard deviation.
C)
Variance equals the sum of the squared deviations from the mean times the probability that that each outcome will occur.



The coefficient of variation equals the standard deviation divided by the mean.

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Twenty students take an exam. The percentages of questions they answer correctly are ranked from lowest to highest as follows:

32

49

57

58

61

62

64

66

67

67

68

69

71

72

72

74

76

80

82

83

In a frequency distribution from 30% to 90% that is divided into six equal-sized intervals, the absolute frequency of the sixth interval is:

A)
2.
B)
4.
C)
3.



The intervals are 30% ≤ x < 40%, 40% ≤ x < 50%, 50% ≤ x < 60%, 60% ≤ x < 70%, 70% ≤ x < 80%, and 80% ≤ x ≤ 90%. There are 3 scores in the range 80% ≤ x ≤ 90%.

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