Explain how we can estimate the standard error for -bar using bootstrap.

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Learning Goal: I’m working on a r question and need an explanation and answer to help me learn.Please provide an answer for the following question. Question’s total point is 10 points. The following answer received 2 points. (For your reference)Question: Imagine that we collected a sample of 50 GAs from a University. Let the sample mean be x-bar. Explain how we can estimate the standard error for -bar using bootstrap. Include the formula that you will use to compute the mean and standard error for the x-bar from the results of the resampling. (Please do not write any code but give a clear explanation of the steps involved.)Sample Answer (2/10) : When we use bootstrap to estimate the standard error for -bar, we first could make a subset of this sample, then we try to get the mean and standard error from the subset. Repeat the above steps until we get the best results.mean(estimate x-x-bar)/nn=the size of the subset of the sampleTeacher’s Comment on the sample answer(Why lost 8 points) : 1. not point out B times for boostrap and xi for every repetition 2. not write the formula for SE
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