Listed below are student evaluation ratings of courses, where a rating of 5 is for "excellent." Using the bootstrap method with 200 bootstrap samples, construct a
90 %
confidence interval estimate of μ.
How does the result compare to the confidence interval 3.67<μ<4.16 constructed using only the original sample data?
3.8
3.0
4.1
4.7
3.1
4.2
3.5
4.9
4.3
4.3
4.1
3.7
3.4
4.0
3.6
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Click the icon to view the table of bootstrap samples.
I don't want the answer given to me, but rather a step by step guide. Do I load that whole grid into stat crunch and if so how? Can I up load all at once or column by column vs row by row? Thank you
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