a. At the 5% sigr than those wh- b. Are the sample c. If independent dent, explain w 1r
a. At the 5% sigr than those wh- b. Are the sample c. If independent dent, explain w 1r
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![10. There is a theory that people who drink caffeine can run longer than those who do not. To test
this theory a random sample of seven people who drink caffeine and a random sample of seven
people who do not drink caffeine was obtained and their length of time they could run non-stop
was measured, in seconds.
ples
Non-Caffeine
drinkers
280
138
227
203
184
231
Caffeine
drinkers
394
477
428
488
454
a. At the 5% significance level, can you conclude that those who drink caffeine can run longer
than those who do not?
b. Are the samples independent or dependent?
c. If independent, would using dependent samples have been better? Why or Why not? If depen-
dent, explain why dependent samples were used.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F545743fa-b3eb-4cea-a48d-b9a75094a366%2Fa8b7766e-d8bc-468b-9113-17f17b1b46cf%2Fwz4ch9o_processed.jpeg&w=3840&q=75)
Transcribed Image Text:10. There is a theory that people who drink caffeine can run longer than those who do not. To test
this theory a random sample of seven people who drink caffeine and a random sample of seven
people who do not drink caffeine was obtained and their length of time they could run non-stop
was measured, in seconds.
ples
Non-Caffeine
drinkers
280
138
227
203
184
231
Caffeine
drinkers
394
477
428
488
454
a. At the 5% significance level, can you conclude that those who drink caffeine can run longer
than those who do not?
b. Are the samples independent or dependent?
c. If independent, would using dependent samples have been better? Why or Why not? If depen-
dent, explain why dependent samples were used.
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