Question

The data analyst in this case used the wrong statistical analysis because

		He or she is not a trained data analyst.
		He or she used software other than Excel.
		"The recommendation is not correct, so the analysis used must also have been incorrect."
		"He or she did not use all of them, so the correct one might not have been included."
		There is not enough information provided in the case study to determine the answer to this question.
		He or she should have used a one-sample hypothesis test.
		He or she used a sample size that was large enough to assume the data were normal.
		All of the above
		None of the above

Answer 1

First of all, you haven't defined what the case was. But a long as I am able to get your intuition behind your question, I an pretty sure that it's answer must be

"The recommendation is not correct, so the analysis used must also have been incorrect."

Because for the rest of the options, that's not certainly true which makes data analyst using wrong statistical analysis.I'm a data analysis in a MNc and I know how things work. So even from my experience, this is the biggest error which data analysts sometimes make.

So, this is the correct option and if recommendation is joy correct, do whatever, do anything or any sort of analysis, that will never a good statistical analysis.

Hope, you understood the correct reason and option I talked about

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