Part A

A researcher is conducting a study to determine if a newly developed drug, X, is an effective treatment for treating for Basal cell carcinoma (i.e., a common kind of skin cancer). The researcher collects a sample of 2,000 participants from the population of people suffering from Basal cell carcinoma. As part of this study, the researcher must formulate a null and alternative hypothesis and select an alpha (i.e., significance) level for the study.

First, formulate a null and alternative hypothesis for the researcher. Use the proper symbology for null and alternative hypotheses in your response (H0 and H1, respectively).

Next, select a significance level for hypothesis testing (i.e., .05 or .01).

What are the pros and cons of the significance level you selected (i.e., use the terms Type I and Type II error in your response)?

Part B

The researcher has selected a parametric test to run the data analysis in order to determine if drug X is an effective treatment for Basal cell carcinoma.

What are some assumptions you can make about the researcher's data distribution based on this information? Discuss at least three assumptions as part of your response.

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