22. Parking Meter Theft Listed below are amounts (in millions of dollars) collected from parking meters by Brinks and others in New York City during similar time periods. A larger data set was used to convict five Brinks employees of grand larceny. The data were provided by the attorney for New York City, and they are listed on the Data and Story Library (DASL) website. Do the limited data listed here show evidence of stealing by Brinks employees? Collection Contractor 1.3 1.5 1.3 1.5 1.4 1.7 1.8 1.7 1.7 1.6 Was Brinks Collection Contractor 2.2 1.9 1.5 1.6 1.5 1.7 1.9 1.6 1.6 1.8 Was Not Brinks
22. Parking Meter Theft Listed below are amounts (in millions of dollars) collected from parking meters by Brinks and others in New York City during similar time periods. A larger data set was used to convict five Brinks employees of grand larceny. The data were provided by the attorney for New York City, and they are listed on the Data and Story Library (DASL) website. Do the limited data listed here show evidence of stealing by Brinks employees? Collection Contractor 1.3 1.5 1.3 1.5 1.4 1.7 1.8 1.7 1.7 1.6 Was Brinks Collection Contractor 2.2 1.9 1.5 1.6 1.5 1.7 1.9 1.6 1.6 1.8 Was Not Brinks
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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Question
![22. Parking Meter Theft Listed below are amounts (in millions of dollars) collected from
parking meters by Brinks and others in New York City during similar time periods. A larger data
set was used to convict five Brinks employees of grand larceny. The data were provided by the
attorney for New York City, and they are listed on the Data and Story Library (DASL) website.
Do the limited data listed here show evidence of stealing by Brinks employees?
Collection Contractor
1.3 1.5 1.3 1.5 1.4 1.7 1.8 1.7 1.7 1.6
Was Brinks
Collection Contractor
2.2 1.9 1.5 1.6 1.5 1.7 1.9 1.6 1.6 1.8
Was Not Brinks](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fddb72669-0680-48fe-8aa6-56d86c073f3c%2F748a6b1d-1ab8-4547-8aa7-2803e68f74d9%2Frro601b_processed.jpeg&w=3840&q=75)
Transcribed Image Text:22. Parking Meter Theft Listed below are amounts (in millions of dollars) collected from
parking meters by Brinks and others in New York City during similar time periods. A larger data
set was used to convict five Brinks employees of grand larceny. The data were provided by the
attorney for New York City, and they are listed on the Data and Story Library (DASL) website.
Do the limited data listed here show evidence of stealing by Brinks employees?
Collection Contractor
1.3 1.5 1.3 1.5 1.4 1.7 1.8 1.7 1.7 1.6
Was Brinks
Collection Contractor
2.2 1.9 1.5 1.6 1.5 1.7 1.9 1.6 1.6 1.8
Was Not Brinks
![In Exercises 5-20, find the range, variance, and standard deviation for the given sample
data. Include appropriate units (such as "minutes") in your results. (The same data were
used in Section 3-1, where we found measures of center. Here we find measures of varia-
tion.) Then answer the given questions.
5. Football Player Numbers Listed below are the jersey numbers of 11 players randomly
selected from the roster of the Seattle Seahawks when they won Super Bowl XLVIII. What do
the results tell us?
89 91 55 7 20 99 25 81 19 82 60](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fddb72669-0680-48fe-8aa6-56d86c073f3c%2F748a6b1d-1ab8-4547-8aa7-2803e68f74d9%2Ftsqtv6_processed.jpeg&w=3840&q=75)
Transcribed Image Text:In Exercises 5-20, find the range, variance, and standard deviation for the given sample
data. Include appropriate units (such as "minutes") in your results. (The same data were
used in Section 3-1, where we found measures of center. Here we find measures of varia-
tion.) Then answer the given questions.
5. Football Player Numbers Listed below are the jersey numbers of 11 players randomly
selected from the roster of the Seattle Seahawks when they won Super Bowl XLVIII. What do
the results tell us?
89 91 55 7 20 99 25 81 19 82 60
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