3. Based on journal articles on speed limits, variability in speed poses the greatest risk of accidents on major roads. When vehicles are traveling at a different speed, the frequency of crashes or accidents increases. In this regard, determine whether the vehicles passing via EDSA are meeting the desired speed variance of less than 49 (kph)?. " Write a brief narrative about the analysis (see R Commander Output #9) using these guide questions: a. What is the set of hypotheses to answer the objectives of the problem? b. What is the appropriate test to use? c. Are vehicles passing via EDSA meeting the desired speed variance? R COMMANDER OUTPUT #9 One sample Chi-Squared Test on Variance data: EDSA_speed x-squared - 117.22, df - 199, p-value - 0.0000007284

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. Based on journal articles on speed limits, variability in speed poses the greatest risk of accidents on major
roads. When vehicles are traveling at a different speed, the frequency of crashes or accidents increases.
In this regard, determine whether the vehicles passing via EDSA are meeting the desired speed variance
of less than 49 (kph)?.
Write a brief narative about the analysis (see R Commander Output #9) using these guide questions:
a. What is the set of hypotheses to answer the objectives of the problem?
b. What is the appropriate test to use?
c. Are vehicles passing via EDSA meeting the desired speed variance?
R COMMANDER OUTPUT #9
One sample Chi-Squared Test on Variance
data: EDSA_speed
x-squared - 117.22, df = 199, p-value - 0.0000007284
Transcribed Image Text:3. Based on journal articles on speed limits, variability in speed poses the greatest risk of accidents on major roads. When vehicles are traveling at a different speed, the frequency of crashes or accidents increases. In this regard, determine whether the vehicles passing via EDSA are meeting the desired speed variance of less than 49 (kph)?. Write a brief narative about the analysis (see R Commander Output #9) using these guide questions: a. What is the set of hypotheses to answer the objectives of the problem? b. What is the appropriate test to use? c. Are vehicles passing via EDSA meeting the desired speed variance? R COMMANDER OUTPUT #9 One sample Chi-Squared Test on Variance data: EDSA_speed x-squared - 117.22, df = 199, p-value - 0.0000007284
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