Researchers are designing an experiment and will use a one-way ANOVA. How can they maximize their chances of obtaining a statistically significant result?
A.) Maximize the variability between groups
B. Maximize the variability within groups
C.) Minimize the variability between groups
D.) None of these affect the chance of obtaining a significant result
A result in Annova will be statistically significant if the f test statistic value is larger .. it will be larger only when variability between the groups is larger.
So to have a statistically significant result, maximize the variability between the groups
Option A
Researchers are designing an experiment and will use a one-way ANOVA. How can they maximize their...
The null hypothesis for a one-way ANOVA states that ______. a. all of the population means are different from each other b. at least one of the population means is different from the others c. there are no differences between any of the population means d. either b or c Before running a one-way ANOVA, researchers should consider a set of assumptions. Which of the below statements is NOT one of the assumptions of the ANOVA?...
Which of the following statements about the one-way ANOVA are correct? (Select all that apply) The larger the variability within groups relative to the variability between groups, the larger the F test statistic tends to be. The results of the ANOVA F test does not tel us which groups are different or how different they are. An F-distribution is symmetrical about 0 and extends indefinitely in both directions In a one-way ANOVA, if the null hypothesis is rejected, we conclude that the population means...
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Explain the difference between the between-treatment variability and the within-treatment variability when performing a one-way ANOVA. Provide the equivalent formula that we use for both of these entities and thereafter provide your rationale for why they would create a proper metric for one-way ANOVA.
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What is the purpose of post tests for a significant one-way ANOVA? a.)to increase the experiment-wise alpha high enough to prevent a Type II error. b.)to determine whether a Type I error was committed. c.)to determine how much difference exists between the treatments. d.)to determine which treatments are significantly different from the others.
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