Color Speeding Ticket Speeding Ticket No Speeding Ticket Total Blue 17 63 80 Red 24 51 75 Silver 34 57 91 White 66 70 136 Black 56 62 118 Total 197 303 500 Use the table that displays counts of the color of cars and whether or not the car got a speeding ticket on a specific range of highway on a particular day. 1. Of white cars, what percentage do not have a speeding ticket? 2. Of red cars, what percentage have a speeding ticket? 3. What is the percentage of silver cars? 4. What is the percentage of cars with no speeding ticket? 5. Assume you want to test the association between the color of the car and getting a speeding ticket. Perform the appropriate chi-square test. Copy and paste the relevant output tables for your answer. 6. Write a few sentences interpreting the results from the chi-square test. (Please see p.294 in the book for an example or refer to the "Interpreting Results" slides from Chapter 9.) A researcher wishes to study consumer preference for car colors at a car dealership. The data are below in the table. Color Frequency Blue 48 Red 47 Silver 50 White 43 Black 60 Total 241 7. Assume the researcher wants to perform a hypothesis test to determine if the colors are preferred equally. Perform the appropriate chi-square test. Copy and paste the relevant output tables for your answer. 8. Write a few sentences interpreting the results from the chi-square test in (7).

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 8PPS
Question
100%
Color Speeding Ticket Speeding Ticket No Speeding Ticket Total
Blue
17
63
80
Red
24
51
75
Silver
34
57
91
White
66
70
136
Black
56
62
118
Total
197
303
500
Use the table that displays counts of the color of cars and
whether or not the car got a speeding ticket on a specific
range of highway on a particular day.
1. Of white cars, what percentage do not have a speeding
ticket?
2. Of red cars, what percentage have a speeding ticket?
3. What is the percentage of silver cars?
4. What is the percentage of cars with no speeding
ticket?
5. Assume you want to test the association between the
color of the car and getting a speeding ticket. Perform
the appropriate chi-square test. Copy and paste the
relevant output tables for your answer.
6. Write a few sentences interpreting the results from the
chi-square test. (Please see p.294 in the book for an
example or refer to the "Interpreting Results" slides
from Chapter 9.)
A researcher wishes to study consumer preference for car
colors at a car dealership. The data are below in the table.
Color Frequency
Blue 48
Red 47
Silver 50
White 43
Black 60
Total 241
7. Assume the researcher wants to perform a hypothesis
test to determine if the colors are preferred equally.
Perform the appropriate chi-square test. Copy and
paste the relevant output tables for your answer.
8. Write a few sentences interpreting the results from the
chi-square test in (7).
Transcribed Image Text:Color Speeding Ticket Speeding Ticket No Speeding Ticket Total Blue 17 63 80 Red 24 51 75 Silver 34 57 91 White 66 70 136 Black 56 62 118 Total 197 303 500 Use the table that displays counts of the color of cars and whether or not the car got a speeding ticket on a specific range of highway on a particular day. 1. Of white cars, what percentage do not have a speeding ticket? 2. Of red cars, what percentage have a speeding ticket? 3. What is the percentage of silver cars? 4. What is the percentage of cars with no speeding ticket? 5. Assume you want to test the association between the color of the car and getting a speeding ticket. Perform the appropriate chi-square test. Copy and paste the relevant output tables for your answer. 6. Write a few sentences interpreting the results from the chi-square test. (Please see p.294 in the book for an example or refer to the "Interpreting Results" slides from Chapter 9.) A researcher wishes to study consumer preference for car colors at a car dealership. The data are below in the table. Color Frequency Blue 48 Red 47 Silver 50 White 43 Black 60 Total 241 7. Assume the researcher wants to perform a hypothesis test to determine if the colors are preferred equally. Perform the appropriate chi-square test. Copy and paste the relevant output tables for your answer. 8. Write a few sentences interpreting the results from the chi-square test in (7).
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