Another measure of central tendency is the trimmed mean. It is computed by deter

Question

Another measure of central tendency is the trimmed mean. It is computed by determining the mean of a data set after deleting the smallest and largest observed values. Compute the trimmed mean for the data given in the accompanying table. Is the trimmed mean resistant to changes in the extreme values in the given data? A.) The trimmed mean is _______? B.) Is the trimmed mean resistant to changes in the extreme values for the given data? - Yes, because changing the extreme values does not change the trimmed mean OR - No, because the trimmed mean varies substantially when the extreme values change A.) The trimmed mean is _______? B.) Is the trimmed mean resistant to changes in the extreme values for the given data? - Yes, because changing the extreme values does not change the trimmed mean OR - No, because the trimmed mean varies substantially when the extreme values change ogle Chrome com/Student/PlayerHomeworkaspx2hom atistics P04 Spring 2018 eworkld 471253093 Sharday Ford Section 3.1 Homework 17 of 18 (17 complete) HW Score: 83. tral ute i Data Table ing th o cha a? iew t 0.87 088 0.82 00 0.9 084 084 091 0.94086 0.86 0.86 0.88 0.87 0.89 0.91 086 0.87 093 0.88 0.83 0.96 0.87 0.93 091 085 091 0.91 0.86 0.89 087 0.84 0.88 0.88 0.89077 082 0.83 090 0.88 0.84 0.93 0.81 090 0.88 092 0.85 084 084 0.86 wer in the an PrintDone

Explanation / Answer

Here we'll trim the smallest and largest values of the data set which is 0.77 and 0.96 respectively.

Now we find the mean or average of the remaining values which is 0.8747917

Trimmed mean is resistant to the change in the extreme values because change in the extreme values doesn't change the trimmed mean.

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