Combining the Sections 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. Non-Caffeine drinkers 359 280 138 227 203 184 231 Caffeine drinkers 394 477 439 428 391 488 454 a. At the 5% significance level, can you conclude that those uho duinl than thore uh
Combining the Sections 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. Non-Caffeine drinkers 359 280 138 227 203 184 231 Caffeine drinkers 394 477 439 428 391 488 454 a. At the 5% significance level, can you conclude that those uho duinl than thore uh
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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Topic Video
Question
a. state the null and alternative hypothesis
b. if appropriate, find the observed value, if not appropriate, state why not
c. find the p-value
d. if appropriate, find and interpret the CI
Transcribed Image Text:Combining the Sections
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.
Non-Caffeine
drinkers
359
280
138
227
203
184
231
Caffeine
drinkers
394
477
439
428
391
488
454
a. At the 5% significance level, can you conclude that those who drink ogfl
than those who do nati
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