Homework Help is Here – Start Your Trial Now!
Math
Statistics
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. 248 260 268 272 277 278 281 283 283 285 286 289 290 290 292 295 297 299 312 501

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. 248 260 268 272 277 278 281 283 283 285 286 289 290 290 292 295 297 299 312 501

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
See similar textbooks
icon
Related questions
Question

20.

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. 248 260 268 272 277 278 281 283 283 285 286 289 290 290 292 295 297 299 312 501 Identify any outliers. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. The outlier(s) is/are pounds. (Type a whole number. Use a comma to separate answers as needed.) B. There are no outliers. The median is pounds. (Type an integer or decimal rounded to one decimal place as needed.) The untrimmed mean is pounds. (Type an integer or decimal rounded to one decimal place as needed.) The 10% trimmed mean is pounds. (Type an integer or decimal rounded to one decimal place as needed.) The 20% trimmed mean is pounds. (Type an integer or decimal rounded to one decimal place as needed.)
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. 248 260 268 272 277 278 281 283 283 285 286 289 290 290 292 295 297 299 312 501 Identify any outliers. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. The outlier(s) is/are pounds. (Type a whole number. Use a comma to separate answers as needed.) B. There are no outliers. The median is pounds. (Type an integer or decimal rounded to one decimal place as needed.) The untrimmed mean is pounds. (Type an integer or decimal rounded to one decimal place as needed.) The 10% trimmed mean is pounds. (Type an integer or decimal rounded to one decimal place as needed.) The 20% trimmed mean is pounds. (Type an integer or decimal rounded to one decimal place as needed.)
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. 248 260 268 272 277 278 281 283 283 285 286 289 290 290 292 295 297 299 312 501 Identify any outliers. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. The outlier(s) is/are pounds. (Type a whole number. Use a comma to separate answers as needed.) B. There are no outliers. The median is pounds. (Type an integer or decimal rounded to one decimal place as needed.) The untrimmed mean is pounds. (Type an integer or decimal rounded to one decimal place as needed.) The 10% trimmed mean is pounds. (Type an integer or decimal rounded to one decimal place as needed.) The 20% trimmed mean is pounds. (Type an integer or decimal rounded to one decimal place as needed.)
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. 248 260 268 272 277 278 281 283 283 285 286 289 290 290 292 295 297 299 312 501 Identify any outliers. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. The outlier(s) is/are pounds. (Type a whole number. Use a comma to separate answers as needed.) B. There are no outliers. The median is pounds. (Type an integer or decimal rounded to one decimal place as needed.) The untrimmed mean is pounds. (Type an integer or decimal rounded to one decimal place as needed.) The 10% trimmed mean is pounds. (Type an integer or decimal rounded to one decimal place as needed.) The 20% trimmed mean is pounds. (Type an integer or decimal rounded to one decimal place as needed.)
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 6 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman
SEE MORE TEXTBOOKS