Article : https://www.nytimes.com/2017/11/10/upshot/health-alcohol-cancer-resear

Question

Article: https://www.nytimes.com/2017/11/10/upshot/health-alcohol-cancer-research.html?rref=collection%2Ftimestopic%2FResearch&action=click&contentCollection=science&region=stream&module=stream_unit&version=latest&contentPlacement=6&pgtype=collection

1. Identify the null and alternative hypothesis that the study tested (probably won't be mentioned directly, but you should be able to discern from the conclusions),
2. Identify what the type I and type II errors would be and which you think would be a worse error to have
3. Give the alpha-level if it is stated.

4. Identify at least 3 things that you think would bias the study, these could be just questions you would like to have answered and/or things that could create bias.

Explanation / Answer

answer is given below

1) Null hypothesis:- Eating items are not associated with the higher rates of cancer and lower rates of cancer.

Alternate hypothesis:- Eating items are associated with the higher rates of cancer and lower rates of cancer.

2) Type I error is one in which we find that eating items are not associated with the higher rates of cancer and lower rates of cancer, but still we reject the null hypothesis

Type II error is one in which we find that eating items are associated with the higher rates of cancer and lower rates of cancer, but still we don't reject the null hypothesis

I think that type II would be a worse error because it can make careless about the eating habits which can result in higher rates and lower rates of cancer.

3) There is no alpha level tested

4) 3 things that would bais the study include sampling bias, first we consider only light drinking people and secondly we will focus on heavy drinking people, so we get different data sets. Third thing that would bias the study is Interviewer bias because if the person performing the testing is also drinking alcohol, then it will bias the result.

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