Q:

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. 131–136)] studied cycling performance before and after 8 weeks of leg-strength training. Seven previously untrained males performed leg-strength training 3 days per week for 8 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% confidence interval for the mean peak power after training.

Accepted Solution

A:
Answer:[300.202 , 329.798]Step-by-step explanation:The 95% confidence interval is given by the interval[tex]\large [\bar x-t^*\frac{s}{\sqrt n}, \bar x+t^*\frac{s}{\sqrt n}][/tex]where[tex]\large \bar x[/tex] is the sample mean  s is the sample standard deviation  n is the sample size (n = 7)  [tex]\large t^*[/tex] is the 0.05 (5%) upper critical value for the Student's t-distribution with 6 degrees of freedom (sample size -1), which is an approximation to the Normal distribution for small samples (n<30).Either by using a table or the computer, we find  [tex]\large t^*= 2.447[/tex]and our 95% confidence interval is[tex]\large [315-2.447*\frac{16}{\sqrt{7}}, 315+2.447*\frac{16}{\sqrt{7}}]=\boxed{[300.202,329.798]}[/tex]