Because the mean is very sensitive to extreme values, 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, then calculate the mean of the remaining values. Use the axial loads (pounds) of aluminum cans listed below for cans that are 0.0111 in. thick. Identify any outliers, then compare the median, mean, 10% trimmed mean, and 20% trimmed mean. 248 261 268 272 277 279 282 283 284 285 O 285 287 290 292 293 295 296 298 310 504 O A. The outlier(s) is/are pounds. (Type a whole number. Use a comma to separate answers as needed.) O B. There are no outliers.
Because the mean is very sensitive to extreme values, 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, then calculate the mean of the remaining values. Use the axial loads (pounds) of aluminum cans listed below for cans that are 0.0111 in. thick. Identify any outliers, then compare the median, mean, 10% trimmed mean, and 20% trimmed mean. 248 261 268 272 277 279 282 283 284 285 O 285 287 290 292 293 295 296 298 310 504 O A. The outlier(s) is/are pounds. (Type a whole number. Use a comma to separate answers as needed.) O B. There are no outliers.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Because the mean is very sensitive to extreme values, 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, then calculate the mean of the remaining values. Use
the axial loads (pounds) of aluminum cans listed below for cans that are 0.0111 in. thick. Identify any outliers, then compare the
median, mean, 10% trimmed mean, and 20% trimmed mean.
248 261 268 272 277 279 282 283 284 285 O
285 287 290 292 293 295 296 298 310 504
...
O A. The outlier(s) is/are
pounds. .
(Type a whole number. Use a comma to separate answers as needed.)
O B. There are no outliers.
Transcribed Image Text:Because the mean is very sensitive to extreme values, 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, then calculate the mean of the remaining values. Use
the axial loads (pounds) of aluminum cans listed below for cans that are 0.0111 in, thịck, Identify any outliers, then compare the
median, mean, 10% trimmed mean, and 20% trimmed mean.
248 261 268 272 277 279 282 283 284 285 O
285 287 290 292 293 295 296 298 310 504
Identify any outliers. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
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