In: Statistics and Probability
You wish to test the following claim (HaHa) at a significance
level of α=0.001 For the context of this problem, μd=μ2-μ1 where
the first data set represents a pre-test and the second data set
represents a post-test.
Ho:μd=0
Ha:μd>0
You believe the population of difference scores is normally
distributed, but you do not know the standard deviation. You obtain
pre-test and post-test samples for n=16 subjects. The average
difference (post - pre) is ¯d=19.3 with a standard deviation of the
differences of sd=28.6
What is the test statistic for this sample? (Report answer accurate
to three decimal places.)
test statistic =
What is the p-value for this sample? (Report answer accurate to
four decimal places.)
p-value =
The p-value is...
This test statistic leads to a decision to...
As such, the final conclusion is that...
Claim: To check whether the population mean difference in the pre-test and post-test is greater then zero.
The Hypothesis is
v/s
Where,
=Population mean of Pre test data
=Population mean of post test data
This is right (one) tailed test as our interest is to see
Now,
n= Number of subjects =16
= sample mean of differences (post-pre)= 19.3
Sd= sample standard deviation of differences = 28.6
Now, we can find the test statistic
T-statistics=
=
= 2.699
Test statistics is 2.699
Now, we find the P-value
Degrees of freedom = n-1= 16-1=15
= level of significance=0.001
this is one tailed test
P-value =0.0082 ( using EXCEL =TDIST(|t-statistics=2.699,D.F=15,tail=1))
Decision:
P-value > 0.001 ()
Since, the P-value greater than the value of 0.001 ()
we fail to reject the Null hypothesis Ho.
Conclusion:
There is not sufficient sample evidence to support the claim that the mean difference of post-test from pre-test is greater than 0.