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What is the distinction between repeated measurements and matched items? Choose the correct answer below. O A. Repeated measurements are the same measurements performed on
What is the distinction between repeated measurements and matched items? Choose the correct answer below. O A. Repeated measurements are the same measurements performed on random pairs of items, whereas matched items are the same measurements performed on items that are matched based on the results of the measurements. O B. Repeated measurements are items that are paired together according to some characteristic and matched items are measurements on the same items. O C. Repeated measurements and matched items are two different names for the same kind of samples. D. Repeated measurements are on the same items whereas matched items are items that are paired together according to some characteristic.What is meant by a p-value? Choose the correct answer below. O A. The p-value is the probability of getting a test statistic equal to or more extreme than the sample result, given that the null hypothesis is true. O B. The p-value is the value(s) that divide the sampling distribution into the rejection region and nonrejection region. O C. The p-value is the probability of getting a test statistic equal to the sample result, given that the null hypothesis is true. O D. The p-value is the probability of getting a sample statistic equal to the sample result, given that the null hypothesis is true.Why is it not possible to have 100% confidence? Explain. Choose the correct answer below. O A. A 100% confidence interval is not possible only if an absurdly wide interval of estimates is provided. O B. A 100% confidence interval is not possible only if the entire population is sampled. C. A 100% confidence interval is not possible unless either the entire population is sampled or an absurdly wide interval of estimates is provided. O D. None of the aboveHow do you interpret a coefficient of determination, , equal to 0.04? Choose the correct answer below. O A. The interpretation is that 0.96% of the variation in the dependent variable can be explained by the variation in the independent variable. O B. The interpretation is that 96% of the variation in the independent variable can be explained by the variation in the dependent variable. C. The interpretation is that 4% of the variation in the dependent variable can be explained by the variation in the independent variable. O D. The interpretation is that 0.04% of the variation in the independent variable can be explained by the variation in the dependent variable
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