A coach uses a new technique to train gymnasts. 7 gymnasts were
randomly selected and their competition scores were recorded before
and after the training. The results are shown below.
Subject A B C D E F G
Before 9.5 ,9.4, 9.6, 9.5, 9.5, 9.6, 9.7,
After 9.6, 9.6, 9.6, 9.4, 9.6, 9.9, 9.
Using a 0.01 level of significance, test the claim that the
training technique is effective in raising the gymnasts' scores.
Include your null and alternative hypotheses, the test statistic,
P-value or critical value(s), conclusion about the null hypothesis,
and conclusion about the claim in your answer.
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Here, we have to use paired t test.
The null and alternative hypotheses for this test are given as below:
Null hypothesis: H0: the training technique is not effective in raising the gymnasts' scores.
Alternative hypothesis: Ha: the training technique is effective in raising the gymnasts' scores.
H0: µd = 0 versus Ha: µd > 0
This is a right tailed test.
We take difference as after minus before.
Test statistic for paired t test is given as below:
t = (Dbar - µd)/[Sd/sqrt(n)]
From given data, we have
Dbar = -0.0143
Sd = 0.3288
n = 7
df = n – 1 = 6
α = 0.01
t = (Dbar - µd)/[Sd/sqrt(n)]
t = (-0.0143 – 0)/[ 0.3288/sqrt(7)]
t = -0.1150
The p-value by using t-table is given as below:
P-value = 0.5439
P-value > α = 0.01
So, we do not reject the null hypothesis
There is not sufficient evidence to conclude that the training technique is effective in raising the gymnasts' scores.
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