In: Statistics and Probability
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 ten weeks of high-intensity power training. At
alphaαequals=0.01
is there enough evidence to support the trainer's claim? Assume the samples are random and dependent, and the population is normally distributed. Complete parts (a) through (e) below.
Female |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
|
---|---|---|---|---|---|---|---|---|---|
Body fat percentage(before) |
23.8 |
24.2 |
26.5 |
24.9 |
28.8 |
22.9 |
24.5 |
23.9 |
|
Body fat percentage (after) |
20.4 |
20.9 |
23.9 |
22.6 |
23.7 |
22.8 |
19.6 |
24.1 |
(a) Identify the claim and state
Upper H 0H0
and
Upper H Subscript aHa.
What is the claim?
High intensity power training __________ (increases/decreases, does not affect, affects/).
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.
d overbardequals=____
(Round to three decimal places as needed.)
Calculate
s Subscript dsd.
s Subscript dsdequals=_________
(Round to three decimal places as needed.)
(d) Find the standardized test statistic t.
tequals=________
(Round to three decimal places as needed.)
(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.
A) High intensity power training decreases.
H0: = 0
H1: > 0
B) At alpha = 0.01, the critical value is t* = 2.998
Reject H0: if t > 2.998
C) = (3.4 + 3.3 + 2.6 + 2.3 + 5.1 + 0.1 + 4.9 + (-0.2))/8 = 2.687
sd = sqrt(((3.4 - 2.687)^2 + (3.3 - 2.687)^2 + (2.6 - 2.687)^2 + (2.3 - 2.687)^2 + (5.1 - 2.687)^2 + (0.1 - 2.687)^2 + (4.9 - 2.687)^2 + (-0.2 - 2.687)^2)/7) = 1.956
D) The test statistic t = (- D)/(sd/)
= (2.687 - 0)/(1.956/) = 3.885
E) Since the test statistic value is greater than the critical value (3.885 > 2.998), so we should reject the null hypothesis.
Reject the null hypothesis. There is enough evidence to the claim that the high intensity power training decreases the body fat percentages of females.