iSuppose the researcher changes the sample size to 100. How does it affect P-value? (In this case, we assume that the sample mean and population standard deviation are not changed). Is it larger, smaller or not changed? On what grounds? (You may find numbers, but I would rather recommend you to use the concepts of process, i.e. irelationship between sample size, test-stat and P-value.) The researcher feels that the confidence interval for u is t0o wide. So the researcher wonders how to increase of precision by decreasing the size of the confidenceinterval for u. If the researcher can control only its sample size, what should be the researcher's choice? How does it work? Explain. Before the test, the researcher did not check the distribution of the sample data. Actually, its distribution is like the boxplot shown below. Based on the distribution of sample scores, explain whether or not you will retain your previous conclusion.

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