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Question 1

Bootstrap 1-mean T-interval?

Answer 1

When there is doubt that the population meets assumptions, a bootstrap method may be appropriate.

Question 2

What are the assumptions in t-interval that can be broken to use a bootstrap?

Answer 2

*data is not heavily skewed and/or
*data is not normal amd/or
*sample size is small

Question 3

Bootstrap method?

Answer 3

approximate the distribution of T.

Question 4

Steps for the bootstrap method?

Answer 4

*Take a sample from the population
*Resample from the sample while pretending the sample is the population (same sample size as original)
*Replace
*calculate sample mean, and sd
*repeat the resample many times.
*Make a distribution using a histogram to create a bootstrap distribution of t (approximation of distribution of t)