Solution
assuming data were UNPAIRED
7.8 8.9
5.0 7.1
2.1 4.5
5.5 7.7
10.0 11.9
mean
6.08 8.02
S
2.98613 2.70037
S2
8.917 7.292
Analysis:
|
1
-
2
|
1.94
t
=
----------------
=
-----------
=
1.53
﴾S1
-
2﴿ 1.273
Calc
t : 1.53
t(0.05)(8df) : 2.31 therefore cannot reject null
hypothesis
The mean difference between the two groups of values was 1.94, and using a
t-test for UN-paired data, we can conclude that a difference of this
magnitude could have occurred by chance alone more than 5% of the time, and
is therefore not statistically significant. The treatment did not
appear to have any real effect in increasing muscle strength.
1
-
2: 1.53, t:
1.08 8 df,
P>0.05
|
Solution assuming data were PAIRED
pre post
diff (post-pre)
7.8 8.9
1.1
5.0 7.1
2.1
2.1 4.5
2.4
5.5 7.7
2.2
10.0 11.9
1.9
mean
1.94
S
0.50299
S2
0.2530
đ
1.94
t = ------
= ------------ = 8.624
SEđ
0.225
Calc t : 8.624
t(0.001)(4df) : 8.61 Therefore reject
null hypothesis
The mean
difference between the pre and post treatment values was 1.94, and using a
t-test for PAIRED data, we can conclude that a difference of this magnitude
would occur by chance alone less than 1 in 1,000 trials. Therefore we
can reject the null hypothesis that there is no treatment effect, and safely
consider the treatment as effective in increasing muscle strength.
đ:
1.94, t: 8.624
4 df, P<0.001
|