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Chronic anterior compartment syndrome is a condition
Chapter 8, Problem 83E(choose chapter or problem)
Chronic anterior compartment syndrome is a condition characterized by exercise-induced pain in the lower leg. Swelling and impaired nerve and muscle function also accompany the pain, which is relieved by rest. Susan Beckham and her colleagues14 conducted an experiment involving ten healthy runners and ten healthy cyclists to determine if pressure measurements within the anterior muscle compartment differ between runners and cyclists. The data—compartment pressure, in millimeters of mercury—are summarized in the following table:
a Construct a \(95 \%\) confidence interval for the difference in mean compartment pressures between runners and cyclists under the resting condition.
b Construct a \(90 \%\) confidence interval for the difference in mean compartment pressures between runners and cyclists who exercise at \(80 \%\) of maximal oxygen \(\left(\mathrm{O}_{2}\right)\) consumption.
c Consider the intervals constructed in parts (a) and (b). How would you interpret the results that you obtained?
Equation Transcription:
Text Transcription:
95%
90%
80%
(O2)
Questions & Answers
QUESTION:
Chronic anterior compartment syndrome is a condition characterized by exercise-induced pain in the lower leg. Swelling and impaired nerve and muscle function also accompany the pain, which is relieved by rest. Susan Beckham and her colleagues14 conducted an experiment involving ten healthy runners and ten healthy cyclists to determine if pressure measurements within the anterior muscle compartment differ between runners and cyclists. The data—compartment pressure, in millimeters of mercury—are summarized in the following table:
a Construct a \(95 \%\) confidence interval for the difference in mean compartment pressures between runners and cyclists under the resting condition.
b Construct a \(90 \%\) confidence interval for the difference in mean compartment pressures between runners and cyclists who exercise at \(80 \%\) of maximal oxygen \(\left(\mathrm{O}_{2}\right)\) consumption.
c Consider the intervals constructed in parts (a) and (b). How would you interpret the results that you obtained?
Equation Transcription:
Text Transcription:
95%
90%
80%
(O2)
ANSWER:
Step 1 of 5
Mean under rest condition for runners:
Standard deviation for runners:
Mean under rest condition for cyclists:
Standard deviation for runners: