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TRUE OR FALSE a. When the assumptions of distributions are met, the parametric tests are more powerful than non-parametric tests b. In Poisson distribution, the

TRUE OR FALSE

a. When the assumptions of distributions are met, the parametric tests are more powerful than non-parametric tests b. In Poisson distribution, the mean is equal to its variance

c. The Main objective of Statistical inference is to make inferences about the population-based n the whole set of population values

d. The Variable X defined X~N(0,1) is called the Standard Normal Distribution

e. Welch Test for testing two population means does not assume that the variances are equal

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