3. Students are asked to count the number of chocolate chips in 22 cookies for a class activity. They found that the cookies on average had 14.77 chocolate chips with a standard deviation of 4.37 chocolate chips. After collecting the data, a student reports the standard error of the mean to be 0.93 chocolate chips. What is the best way to interpret the student's result? The student either made a calculation error or his result is meaningless, because it does not make sense to talk about 0.93 chocolate chips. 0.93 chocolate chips is a measure of the variability in the mean number of chocolate chips across all chocolate chip cookies. 0.93 chocolate chips is a measure of the variability we'd expect in calculations of the mean number of chocolate chips if we took repeated random samples of 22 cookies. 0.93 is the standard deviation of the number of chocolate chips in a chocolate chip cookie.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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3. Students are asked to count the number of chocolate chips in 22 cookies for a class activity. They found that the
cookies on average had 14.77 chocolate chips with a standard deviation of 4.37 chocolate chips. After collecting
the data, a student reports the standard error of the mean to be 0.93 chocolate chips. What is the best way to
interpret the student's result?
The student either made a calculation error or his result is meaningless, because it does not make sense to
talk about 0.93 chocolate chips.
0.93 chocolate chips is a measure of the variability in the mean number of chocolate chips across all
chocolate chip cookies.
0.93 chocolate chips is a measure of the variability we'd expect in calculations of the mean number of
chocolate chips if we took repeated random samples of 22 cookies.
0.93 is the standard deviation of the number of chocolate chips in a chocolate chip cookie.
Transcribed Image Text:3. Students are asked to count the number of chocolate chips in 22 cookies for a class activity. They found that the cookies on average had 14.77 chocolate chips with a standard deviation of 4.37 chocolate chips. After collecting the data, a student reports the standard error of the mean to be 0.93 chocolate chips. What is the best way to interpret the student's result? The student either made a calculation error or his result is meaningless, because it does not make sense to talk about 0.93 chocolate chips. 0.93 chocolate chips is a measure of the variability in the mean number of chocolate chips across all chocolate chip cookies. 0.93 chocolate chips is a measure of the variability we'd expect in calculations of the mean number of chocolate chips if we took repeated random samples of 22 cookies. 0.93 is the standard deviation of the number of chocolate chips in a chocolate chip cookie.
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