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ANOVA Table Post Hoc Analysis

Question 22

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ANOVA table ANOVA table   Post hoc analysis Tukey simultaneous comparison t-values   The Excel/MegaStat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners. The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. At a significance level of .05, we would A)  not be able to reject the null hypothesis of equal population means. B)  reject the null hypothesis of equal population means. C)  reject or fail to reject depending on the value of the t statistic. D)  not be able to decide whether or not to reject the null hypothesis due to insufficient information. Post hoc analysis
Tukey simultaneous comparison t-values
ANOVA table   Post hoc analysis Tukey simultaneous comparison t-values   The Excel/MegaStat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners. The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt. At a significance level of .05, we would A)  not be able to reject the null hypothesis of equal population means. B)  reject the null hypothesis of equal population means. C)  reject or fail to reject depending on the value of the t statistic. D)  not be able to decide whether or not to reject the null hypothesis due to insufficient information. The Excel/MegaStat output given above summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners. The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt.
At a significance level of .05, we would


A) not be able to reject the null hypothesis of equal population means.
B) reject the null hypothesis of equal population means.
C) reject or fail to reject depending on the value of the t statistic.
D) not be able to decide whether or not to reject the null hypothesis due to insufficient information.

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