Obesity and being overweight is caused by excessive adipose tissues, or body fat. Visceral fat, surrounding internal organs, is clearly associated with heart disease and diabetes. Subcutaneous fat, found just below the skin (often in the buttocks and thighs), is not. A study examined the impact of exercise type on visceral and subcutaneous fat. Overweight, sedentary, but otherwise disease-free adults were randomly assigned to 3 exercise regimens for eight months: aerobic training, resistance training, aerobic plus resistance training. All exercise sessions were supervised to ensure correct completion. The subjects' body fat amount was assessed with computed tomography imaging (in cm2) at the beginning and end of the experiment. The study report contains the following information about the visceral fat reduction (in cm2) achieved by the subjects in each group (note that the reduction is indicated as a positive value):
Treatment | n | x | s |
---|---|---|---|
Aerobic training | 37 | 25.2 | 30 |
Resistance training | 43 | 8.2 | 55 |
Aerobic plus resistance training | 35 | 28.9 | 36 |
(c) Calculate the overall mean response x
= (round to 2 decimal places)
(d) Complete the one-way ANOVA table (round your answer to two
decimal places when it applies)
Source | df | S.S. | M.S. | F |
---|---|---|---|---|
Between Groups | 2 | 9760.04 | ||
Within Groups | N/A | |||
C.Total | 213274.04 | N/A | N/A |
(e) Perform a ANOVA F-test of hypotheses:
H0: All three population means of subcutaneous
fat reductions are equal versus Ha: Not all
three population means of subcutaneous fat reductions are
equal
Find the test statistic F ratio from the ANOVA table and estimate
the P-value.
P-value:
a. P < 0.001
b. 0.001 < P < 0.010
c. 0.010 < P < 0.025
d. 0.025 < P < 0.050
e. 0.050 < P < 0.100
f. P > 0.100
c) Overall mean score = (25.2*37 + 8.2*43 + 28.9*35)/(37+43+35) = 19.97
d) Number of treatment, k = 3
Total sample Size, N = 115
df(between) = k-1 = 2
df(within) = N-k = 112
df(total) = N-1 = 114
SS(within) = SST + SS(between)= 203514
MS(between) = SS(between)/df(between) = 4880.02
MS(within) = SS(within)/df(within) = 1817.09
F = MS(between)/MS(within) = 2.69
p-value = F.DIST.RT(2.6856, 2, 112) = 0.0726
ANOVA | |||||
Source of Variation | SS | df | MS | F | P-value |
Between Groups | 9760.04 | 2 | 4880.02 | 2.69 | 0.0726 |
Within Groups | 203514.00 | 112 | 1817.09 | ||
Total | 213274.04 | 114 |
e) Answer : e. 0.050 < P < 0.100
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