Which of the following is a key assumption regarding population variances and the appropriate use of...
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Which of the following is a key assumption regarding population variances and the appropriate use of Analysis of Variance? All the population variances are equal. ANOVA may be used in all cases. All of the population variances are different QUESTION 2 How, in general, is the requirement of equal population variances to allow the use of analysis of variance method verified? All three sample standard deviations must be equal. The largest sample standard deviation is equal to the sum of the other standard deviations. The largest sample standard deviation must be less than or equal to twice the smallest sample standard deviation. The largest sample standard deviation is less than or equal to the variance of the smallest sample. QUESTION 3 The analysis of variance is an inferential method that is used to test the equality of two population means three or more population means two population variances. three or more population variances Which of the following is a key assumption regarding population variances and the appropriate use of Analysis of Variance? All the population variances are equal. ANOVA may be used in all cases. All of the population variances are different QUESTION 2 How, in general, is the requirement of equal population variances to allow the use of analysis of variance method verified? All three sample standard deviations must be equal. The largest sample standard deviation is equal to the sum of the other standard deviations. The largest sample standard deviation must be less than or equal to twice the smallest sample standard deviation. The largest sample standard deviation is less than or equal to the variance of the smallest sample. QUESTION 3 The analysis of variance is an inferential method that is used to test the equality of two population means three or more population means two population variances. three or more population variances
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Auditing and Assurance Services
ISBN: 978-0077862343
6th edition
Authors: Timothy Louwers, Robert Ramsay, David Sinason, Jerry Straws
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