An article in Medicine and Science in Sports and Exercise "Maximal Leg-Strength Training Improves Cycling Economy in Previously
1 answer:
Answer:
The 99% confidence interval for the mean peak power after training is [299.4, 330.6]
Step-by-step explanation:
We have to construct a 99% confidence interval for the mean.
A sample of n=7 males is taken. We know the sample mean = 315 watts and the sample standard deviation = 16 watts.
For a 99% confidence interval, the value of z is z=2.58.
We can calculate the confidence interval as:
The 99% confidence interval for the mean peak power after training is [299.4, 330.6]
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Answer:
The estimate of In(1.4) is the first five non-zero terms.
Step-by-step explanation:
From the given information:
We are to find the estimate of In(1 . 4) within 0.001 by applying the function of the Maclaurin series for f(x) = In (1 + x)
So, by the application of Maclurin Series which can be expressed as:
Let examine f(x) = In(1+x), then find its derivatives;
f(x) = In(1+x)
f'(0)
f ' ' (x)
f ' ' (x)
f ' ' '(x)
f ' ' '(x)
f ' ' ' '(x)
f ' ' ' '(x)
f ' ' ' ' ' (x)
f ' ' ' ' ' (x)
Now, the next process is to substitute the above values back into equation (1)
To estimate the value of In(1.4), let's replace x with 0.4
Therefore, from the above calculations, we will realize that the value of as well as
which are less than 0.001
Hence, the estimate of In(1.4) to the term is is said to be enough to justify our claim.
∴
The estimate of In(1.4) is the first five non-zero terms.