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    Statistics
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    Business Statistics
  4. Exam
    Exam 11: Statistical Inference Concerning Variance
  5. Question
    If Independent Samples of Size N<sub>1</sub> and N<sub>2</sub> Are Drawn
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If Independent Samples of Size N1 and N2 Are Drawn

Question 32

Question 32

Multiple Choice

If independent samples of size n1 and n2 are drawn from normal populations with equal variances, then the value of the If independent samples of size n<sub>1</sub> and n<sub>2</sub> are drawn from normal populations with equal variances, then the value of the   statistic is calculated as A)    ×   . B)    /   . C)    (n<sub>1 </sub>- 1)  ×   (n<sub>2 </sub>- 1) . D)      /     . statistic is calculated as


A) If independent samples of size n<sub>1</sub> and n<sub>2</sub> are drawn from normal populations with equal variances, then the value of the   statistic is calculated as A)    ×   . B)    /   . C)    (n<sub>1 </sub>- 1)  ×   (n<sub>2 </sub>- 1) . D)      /     . × If independent samples of size n<sub>1</sub> and n<sub>2</sub> are drawn from normal populations with equal variances, then the value of the   statistic is calculated as A)    ×   . B)    /   . C)    (n<sub>1 </sub>- 1)  ×   (n<sub>2 </sub>- 1) . D)      /     . .
B) If independent samples of size n<sub>1</sub> and n<sub>2</sub> are drawn from normal populations with equal variances, then the value of the   statistic is calculated as A)    ×   . B)    /   . C)    (n<sub>1 </sub>- 1)  ×   (n<sub>2 </sub>- 1) . D)      /     . / If independent samples of size n<sub>1</sub> and n<sub>2</sub> are drawn from normal populations with equal variances, then the value of the   statistic is calculated as A)    ×   . B)    /   . C)    (n<sub>1 </sub>- 1)  ×   (n<sub>2 </sub>- 1) . D)      /     . .
C) If independent samples of size n<sub>1</sub> and n<sub>2</sub> are drawn from normal populations with equal variances, then the value of the   statistic is calculated as A)    ×   . B)    /   . C)    (n<sub>1 </sub>- 1)  ×   (n<sub>2 </sub>- 1) . D)      /     . (n1 - 1) × If independent samples of size n<sub>1</sub> and n<sub>2</sub> are drawn from normal populations with equal variances, then the value of the   statistic is calculated as A)    ×   . B)    /   . C)    (n<sub>1 </sub>- 1)  ×   (n<sub>2 </sub>- 1) . D)      /     . (n2 - 1) .
D) If independent samples of size n<sub>1</sub> and n<sub>2</sub> are drawn from normal populations with equal variances, then the value of the   statistic is calculated as A)    ×   . B)    /   . C)    (n<sub>1 </sub>- 1)  ×   (n<sub>2 </sub>- 1) . D)      /     . If independent samples of size n<sub>1</sub> and n<sub>2</sub> are drawn from normal populations with equal variances, then the value of the   statistic is calculated as A)    ×   . B)    /   . C)    (n<sub>1 </sub>- 1)  ×   (n<sub>2 </sub>- 1) . D)      /     . / If independent samples of size n<sub>1</sub> and n<sub>2</sub> are drawn from normal populations with equal variances, then the value of the   statistic is calculated as A)    ×   . B)    /   . C)    (n<sub>1 </sub>- 1)  ×   (n<sub>2 </sub>- 1) . D)      /     . If independent samples of size n<sub>1</sub> and n<sub>2</sub> are drawn from normal populations with equal variances, then the value of the   statistic is calculated as A)    ×   . B)    /   . C)    (n<sub>1 </sub>- 1)  ×   (n<sub>2 </sub>- 1) . D)      /     . .

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