Bias: We learned in our bias lecture that windsorizing includes substituting outliers with the highest (or lowest) value that isn't an outlier at either end of a distribution of scores.

Consider the following datasethas several outliers (They are designated here as bolded, underlined, and in red, or just the first two numbers and last two numbers in the list ): {0.1,1,12,14,16,18,19,21,24,26,29,32,33,35,39,40,41,44,99,125} Mean = 33.405.

1. Let's assume we want to substitute the outliers above with the highest (or lowest) value that isn't an outlier at either end of a distribution of scores. Further, I replace 1 with _________, 0.1 with __________, 125 with _____________, and 99 with ____________.
2. After completing the windsorizing activity in (a) above, please recalculate the mean of the dataset above.