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Question
The null and alternate hypotheses must be opposites of each other.Answer
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In one-way analysis of variance, the within-sample variation is not affected by whether the null hypothesis is true or not.
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In a one-way analysis of variance test, the following null and alternative hypotheses are appropriate:
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Hα : μ1 ≠μ2 ≠μ3
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In conducting one-way analysis of variance, the sample size for each group must be equal.
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In a one-way analysis of variance design, there is a single factor of interest but there may be multiple levels of the factor.
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In performing a one-tailed test for the difference between two population variances, which of the following statements is true?
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If a hypothesis test for a single population variance is to be conducted, which of the following statements is true?
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When conducting a one-tailed hypothesis test of a population variance using a sample size of n = 24 and a 0.10 level of significance, the critical value is:
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A frozen food company that makes burritos currently has employees making burritos by hand. It is considering purchasing equipment to automate the process and wants to determine if the automated process would result in lower variability of burrito weights. It takes a random sample from each process as shown below. Process 1 (by hand)
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For a given significance level, increasing the sample size will tend to increase the chi-square critical value used in testing the null hypothesis about a population variance.