Because the mean is very sensitive to extreme scores, it can be criticized as not being a resistant measure of central tendency. 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 scores and the top 10% of the scores, and calculate the mean of the remaining scores. For the weights of the bears in Data Set 3 from Appendix B, find
(a) The mean,
(b) The 10% trimmed mean, and
(c) The 20% trimmed mean. How do the results compare?