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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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