The anterior cruciate ligament (ACL) runs diagonally in the middle of the knee. An article reported results for 85 young athletes who suffered anterior cruciate ligament (ACL) injuries_ Of the 80 injuries, 45 were to the left knee and 35 were to the right knee. In testing if more than half of ACL injuries are to the left knee, the p-value for testing the null hypothesis p= 0.50 versus the alternative hypothesis p> 0.50 is (A) 0.263 (C) 0.131 (B) 0.035 (D) 0.868
The anterior cruciate ligament (ACL) runs diagonally in the middle of the knee. An article reported results for 85 young athletes who suffered anterior cruciate ligament (ACL) injuries_ Of the 80 injuries, 45 were to the left knee and 35 were to the right knee. In testing if more than half of ACL injuries are to the left knee, the p-value for testing the null hypothesis p= 0.50 versus the alternative hypothesis p> 0.50 is (A) 0.263 (C) 0.131 (B) 0.035 (D) 0.868
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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
Transcribed Image Text:The anterior cruciate ligament (ACL) runs diagonally in the middle of the knee. An article
reported results for 85 young athletes who suffered anterior cruciate ligament (ACL) injuries.
Of the 80 injuries, 45 were to the left knee and 35 were to the right knee. In testing if more
than half of ACL injuries are to the left knee, the p-value for testing the null hypothesis
p = 0.50 versus the alternative hypothesis p > 0.50 is
(A) 0.263
(C) 0.131
(B) 0.035
(D) 0.868
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