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An article in Medicine and Science in Sports and Exercise "Maximal Leg-Strength Training Improves Cycling Economy in Previously Untrained Men," (2005, Vol. 37 pp. 131-1236) studied cycling performance before and after eight weeks of leg-strength training. Seven previously untrained males performed leg-strength training three days per week for eight weeks (with four sets of five replications at 85% of one repetition maximum). Peak power during incremental cycling increased to a mean of 315 watts with a standard deviation of 16 watts. Construct a 95% two-sided confidence interval for the mean peak power after training. Assume population is approximately normally distributed. Round the answers to 2 decimal places. i 301.62 SHS 328.38

An article in Medicine and Science in Sports and Exercise "Maximal Leg-Strength Training Improves Cycling Economy in Previously Untrained Men," (2005, Vol. 37 pp. 131-1236) studied cycling performance before and after eight weeks of leg-strength training. Seven previously untrained males performed leg-strength training three days per week for eight weeks (with four sets of five replications at 85% of one repetition maximum). Peak power during incremental cycling increased to a mean of 315 watts with a standard deviation of 16 watts. Construct a 95% two-sided confidence interval for the mean peak power after training. Assume population is approximately normally distributed. Round the answers to 2 decimal places. i 301.62 SHS 328.38

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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**Title: Analysis of Leg-Strength Training and Cycling Performance** **Article Overview:** An article published in *Medicine and Science in Sports and Exercise* titled "Maximal Leg-Strength Training Improves Cycling Economy in Previously Untrained Men" (2005, Vol. 37, pp. 131–1236) explored the effects of a leg-strength training program on cycling performance. The study focused on previously untrained men over an eight-week period. **Study Details:** - **Participants:** Seven previously untrained males - **Training Regimen:** Leg-strength exercises three days a week, over eight weeks, with four sets of five replications at 85% of one repetition maximum - **Outcome Measured:** Peak power during incremental cycling **Results:** After completing the training, the mean peak power increased to 315 watts with a standard deviation of 16 watts. The researchers aimed to calculate a 95% two-sided confidence interval for the mean peak power post-training. **Mathematical Analysis:** - **Given Data:** - Mean Peak Power: 315 watts - Standard Deviation: 16 watts - Confidence Interval: 95% The derived confidence interval for the mean peak power after training was calculated as follows: \[ 301.62 \leq \mu \leq 328.38 \] **Conclusion:** This study successfully concluded that maximal leg-strength training significantly increases cycling performance, as evidenced by the increase in mean peak power. The statistical confidence interval provides insight into the variability and reliability of these results. **Additional Resources:** For detailed statistical methods and calculations, refer to "Statistical Tables and Charts."
Transcribed Image Text:**Title: Analysis of Leg-Strength Training and Cycling Performance** **Article Overview:** An article published in *Medicine and Science in Sports and Exercise* titled "Maximal Leg-Strength Training Improves Cycling Economy in Previously Untrained Men" (2005, Vol. 37, pp. 131–1236) explored the effects of a leg-strength training program on cycling performance. The study focused on previously untrained men over an eight-week period. **Study Details:** - **Participants:** Seven previously untrained males - **Training Regimen:** Leg-strength exercises three days a week, over eight weeks, with four sets of five replications at 85% of one repetition maximum - **Outcome Measured:** Peak power during incremental cycling **Results:** After completing the training, the mean peak power increased to 315 watts with a standard deviation of 16 watts. The researchers aimed to calculate a 95% two-sided confidence interval for the mean peak power post-training. **Mathematical Analysis:** - **Given Data:** - Mean Peak Power: 315 watts - Standard Deviation: 16 watts - Confidence Interval: 95% The derived confidence interval for the mean peak power after training was calculated as follows: \[ 301.62 \leq \mu \leq 328.38 \] **Conclusion:** This study successfully concluded that maximal leg-strength training significantly increases cycling performance, as evidenced by the increase in mean peak power. The statistical confidence interval provides insight into the variability and reliability of these results. **Additional Resources:** For detailed statistical methods and calculations, refer to "Statistical Tables and Charts."
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