A table summarizes the success and failures when subjects used different methods (yoga, acupuncture, and chiropractor) to relieve back pain. If we test the claim at a 5% level of significance that success is independent of the method used, technology provides a p-value of 0.0355. What does the p-value tell us about the claim? O A. Since the p-value of 0.0355 is lower than 0.05, we fail to the null hypothesis of independence between the treatment and whether the subject stops experiencing back pain. This suggests that the choice of treatment does not appear to make a difference. O B. Since the p-value of 0.0355 is lower than 0.05, we reject the null hypothesis of independence between the treatment and whether the subject stops experiencing back pain. This suggests that the choice of treatment does not appear to make a difference. O C. Since the p-value of 0.0355 is lower than 0.05, we reject the null hypothesis of independence between the treatment and whether the subject stops experiencing back pain. This suggests that the choice of treatment does appear to make a difference. O D. Since the p-value of 0.0355 is greater than 0.05, we reject the null hypothesis of independence between the treatment and whether the subject stops experiencing back pain. This suggests that the choice of treatment does appear to make a ference.

MATLAB: An Introduction with Applications
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A table summarizes the success and failures when subjects used different methods (yoga, acupuncture, and chiropractor) to relieve
back pain. If we test the claim at a 5% level of significance that success is independent of the method used, technology provides a
p-value of 0.0355. What does the p-value tell us about the claim?
...
O A. Since the p-value of 0.0355 is lower than 0.05, we fail to the null hypothesis of independence between the treatment and
whether the subject stops experiencing back pain. This suggests that the choice of treatment does not appear to make a
difference.
O B. Since the p-value of 0.0355 is lower than 0.05, we reject the null hypothesis of independence between the treatment and
whether the subject stops experiencing back pain. This suggests that the choice of treatment does not appear to make a
difference.
O C. Since the p-value of 0.0355 is lower than 0.05, we reject the null hypothesis of independence between the treatment and
whether the subject stops experiencing back pain. This suggests that the choice of treatment does appear to make a
difference.
O D. Since the p-value of 0.0355 is greater than 0.05, we reject the null hypothesis of independence between the treatment and
whether the subject stops experiencing back pain. This suggests that the choice of treatment does appear to make a
difference.
Transcribed Image Text:A table summarizes the success and failures when subjects used different methods (yoga, acupuncture, and chiropractor) to relieve back pain. If we test the claim at a 5% level of significance that success is independent of the method used, technology provides a p-value of 0.0355. What does the p-value tell us about the claim? ... O A. Since the p-value of 0.0355 is lower than 0.05, we fail to the null hypothesis of independence between the treatment and whether the subject stops experiencing back pain. This suggests that the choice of treatment does not appear to make a difference. O B. Since the p-value of 0.0355 is lower than 0.05, we reject the null hypothesis of independence between the treatment and whether the subject stops experiencing back pain. This suggests that the choice of treatment does not appear to make a difference. O C. Since the p-value of 0.0355 is lower than 0.05, we reject the null hypothesis of independence between the treatment and whether the subject stops experiencing back pain. This suggests that the choice of treatment does appear to make a difference. O D. Since the p-value of 0.0355 is greater than 0.05, we reject the null hypothesis of independence between the treatment and whether the subject stops experiencing back pain. This suggests that the choice of treatment does appear to make a difference.
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