Trimmed Mean Because the mean is very sensitive to extreme values, we say that it is not a resistant measure of center. By deleting some low values and high values, the trimmed mean is more resistant. To find the 10% trimmed mean for a data set, first arrange the data in order, then delete the bottom 10% of the values and delete the top 10% of the values, and then calculate the mean of the remaining values. Refer to the BMI values for females in Data Set 1 in Appendix: Data Sets, and change the highest value from 47.24 to 472.4, so the value of 472.4 is an outlier. Find (a)
the mean;

(b) the 10% trimmed mean;

(c) the 20% trimmed mean. How do the results compare?