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Which of the following is NOT a requirement of testing a claim about two population means when o, and o, are unknown and not assumed

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Which of the following is NOT a requirement of testing a claim about two population means when o, and o, are unknown and not assumed to be equal? Choose the correct answer below. O A. Both samples are simple random samples. O B. The two samples are independent. O C. The two samples are dependent. O D. Either the two sample sizes are large (n, > 30 and n, > 30) or both samples come from populations having normal distributions, or both of these conditions are satisfied.Listed below are body temperatures from five different subjects measured at 8 AM and again at 12 AM. Find the values of d and so. In general, what does . represent? Temperature ("F) at 8 AM 98.2 99.5 97.5 97.9 97.4 Temperature ("F) at 12 AM 98.9 100.1 97.9 97.7 97.6 Let the temperature at 8 AM be the first sample, and the temperature at 12 AM be the second sample. Find the values of d and sa. d= (Type an integer or a decimal. Do not round.)Fill in the blank. A is a characteristic used in ANOVA that allows us to distinguish different populations from one another. A is a characteristic used in ANOVA that allows us to distinguish different populations from one an treatment standard deviation control chart residualWhich of the following is NOT a requirement for using one-way analysis of variance for testing equality of three or more population means? Choose the correct answer below. O A. The different samples are from populations that are categorized in only one way. O B. The samples are matched or paired in some way. O C. The populations have distributions that are approximately normal. O D. The samples are simple random samples of quantitative data.Which of the following is NOT true of one-way analysis of variance experimental design? Choose the correct answer below. O A. Good results require that experiments be carefully designed and executed. O B. Using a rigorously controlled design is one way to reduce the effect of extraneous factors. O C. A completely randomized experimental design is one way to reduce the effect of extraneous factors. O D. In any design, if the conclusion is that the differences among the means are significant, the differences are explained by the factor used

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