The following data are costs (in cents) per ounce for nine different brands of sliced Swiss cheese. 28 63 39 43 70 82 48 54 49 USE SALT (a) Calculate the variance for this data set. (Round your answer to four decimal places.) Calculate the standard deviation for this data set. (Round your answer to four decimal places.) (b) If a very expensive cheese with a cost per slice of 150 cents was added to the data set, how would the values of the mean and standard deviation change? The addition of the very expensive cheese would ---Select-- the value of the mean and ---Select-- the value of the standard deviation.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 11PPS
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The following data are costs (in cents) per ounce for nine different brands of sliced Swiss cheese.
28 63 39 43 70 82 48 54 49
USE SALT
(a) Calculate the variance for this data set. (Round your answer to four decimal places.)
Calculate the standard deviation for this data set. (Round your answer to four decimal places.)
(b) If a very expensive cheese with a cost per slice of 150 cents was added to the data set, how would the values of the mean and standard deviation change?
The addition of the very expensive cheese would [---Select--- the value of the mean and [---Select--- ] the value of the standard deviation.
Transcribed Image Text:The following data are costs (in cents) per ounce for nine different brands of sliced Swiss cheese. 28 63 39 43 70 82 48 54 49 USE SALT (a) Calculate the variance for this data set. (Round your answer to four decimal places.) Calculate the standard deviation for this data set. (Round your answer to four decimal places.) (b) If a very expensive cheese with a cost per slice of 150 cents was added to the data set, how would the values of the mean and standard deviation change? The addition of the very expensive cheese would [---Select--- the value of the mean and [---Select--- ] the value of the standard deviation.
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