Dashboard MASU Preparatory A... Guess Who C Home - Canva me3 ASU - Register Help! St OData Analysis and Probability Using box-and-whisker plots to compare data sets H In 55 60 60 65 70 75 80 City A City B 85 90 95 Noon temperature (in Fahrenheit) (a) Which city had a smaller range of noon temperatures? (b) Which city had noon temperatures with a larger interquartile range (IQR)? (c) Which city had a larger median noon temperature? 'Choose one 'Choose one' 'Choose one (d) Which city had the highest noon temperature? Explanation Check 'Choose one' × © 2024 M

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 23PPS
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Dashboard
MASU Preparatory A...
Guess Who
C Home - Canva
me3 ASU - Register
Help! St
OData Analysis and Probability
Using box-and-whisker plots to compare data sets
H
In
55
60
60
65
70
75
80
City A
City B
85
90
95
Noon temperature (in Fahrenheit)
(a) Which city had a smaller range of noon temperatures?
(b) Which city had noon temperatures with a larger
interquartile range (IQR)?
(c) Which city had a larger median noon temperature?
'Choose one
'Choose one'
'Choose one
(d) Which city had the highest noon temperature?
Explanation
Check
'Choose one'
×
© 2024 M
Transcribed Image Text:Dashboard MASU Preparatory A... Guess Who C Home - Canva me3 ASU - Register Help! St OData Analysis and Probability Using box-and-whisker plots to compare data sets H In 55 60 60 65 70 75 80 City A City B 85 90 95 Noon temperature (in Fahrenheit) (a) Which city had a smaller range of noon temperatures? (b) Which city had noon temperatures with a larger interquartile range (IQR)? (c) Which city had a larger median noon temperature? 'Choose one 'Choose one' 'Choose one (d) Which city had the highest noon temperature? Explanation Check 'Choose one' × © 2024 M
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