A fitness trainer claims that high intensity power training decreases the body fat percentages of females. The table below shows the body fat percentages of
eight
females before and after 10 weeks of high intensity power training. At
alphaαequals=0.10
is there enough evidence to support thetrainer's claim? Assume the samples are random and dependent, and the population is normally distributed. Complete parts (a) through (e) below.
Female | Body_Fat_%_(before) | Body_Fat_%_(after) |
1 | 27.2 | 27.1 |
2 | 23.6 | 23 |
3 | 23.9 | 23.8 |
4 | 23.5 | 23.4 |
5 | 24.2 | 24 |
6 | 27.4 | 26.8 |
7 | 28.3 | 28.2 |
8 | 28.1 | 28.5 |
(a) Identify the claim and state
Upper H 0H0
and
Upper H Subscript aHa.
What is the claim?
High intensity power training
decreases
the body fat percentages of females.
Let
mu Subscript dμd
be the hypothesized mean of the difference in the body fat percentages
(beforeminus−after).
What are
Upper H0
and
Upper H Subscript aHa?
(b) Find the critical value(s) and identify the rejection region(s).
Select the correct choice below and fill in any answer boxes to complete your choice.
(Round to three decimal places as needed.)
(c) Calculate
d overbard
and
s Subscript dsd.
Calculate
s Subscript dsd.
(d) Find the standardized test statistic t. (e) Decide whether to reject or fail to reject the null hypothesis and interpret the decision in the context of the original claim.
1) ____ the null hypothesis. There (2)_____ enough evidence to (3) ________ the claim that high intensity power training (4) _____ the body fat percentages of females.
(1) reject, fail to reject (2) is, is not (3) reject, support (4) decreases, increases
8.
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