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D Question 1 Which of the following describes ANOVA? More than one option may apply. C] A term that stands for analysis of variance. C]

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D Question 1 Which of the following describes ANOVA? More than one option may apply. C] A term that stands for analysis of variance. C] A test to determine if multiple variances are different. C] A star becoming extremely bright and exploding in space. E] A technique used to test claims involving three or more means, based on the F-test. D Question 2 Which of the following are assumptions for the F-test when comparing three or more means? C] The mean of the populations must be equal. C] The variances of the populations must be equal. C] np and nq must be larger than 5 C] The populations from which the samples were obtained must be normally or approximately normally distributed. C] The samples must be independent of one another. D Question 3 1 pts What is the difference between one-way and two-way ANOVA tests? One-way ANOVA is a one way street whereas two-way ANOVA is a two way street One-way ANOVA is a one way chemical reaction whereas two-way ANOVA is a two way reversible chemical reaction One-way ANOVA is a method that only has one way to calculate whereas two-way ANOVA has two ways to calculate One-way ANOVA is based on a single factor whereas two-way ANOVA is based on two factors D Question 4 1 pts Can ANOVA tell you where the differences between sample groups occurred? No, it cannot tell you where the differences between sample groups occurred O Yes, it can tell you the differences between sample groups occurred It depends on the results of the ANOVA testD Question 5 1 pts When do you use the Scheffe tests? O Before performing an ANOVA test It doesn't matter when the test occurs O After performing an ANOVA test O In the middle of an ANOVA test D Question 6 0.9 pts What is the biggest misuse of ANOVA in published scientific studies? O Selecting the wrong significance levels. O Applying ANOVA to make inferences about extreme values as opposed to just means. O Applying it in the natural sciences, where most variables are not normally distributed. O The use of very small sample sizes, often biased

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