TNF-α
|
|
H9 ( The
EBV-negative T-cell line)
|
H9-LMP1
|
13.14
|
11.65
|
6.42
|
11.14
|
8.90
|
4.49
|
9.20
|
13.46
|
10.26
|
3.56
|
6.71
|
10.70
|
10.62
|
12.53
|
6.52
|
11.45
|
10.53
|
9.63
|
7.63
|
8.36
|
7.38
|
5.91
|
4.43
|
17.33
|
7.85
|
12.87
|
12.89
|
12.32
|
10.57
|
10.14
|
Statistics
1.
2.
Null
Hypothesis:
there is no difference in TNF-α
secretion between the EBV-negative T-cell line (H9) and H9-LMP1.
Alternative
Hypothesis:
there is a difference in TNF-α
secretion between the EBV-negative T-cell line (H9) and H9-LMP1.
3.
The hypothesis is two tailed because it is looking for a difference between two
groups and there is no particular direction to the hypothesis (i.e. less than
or more than).
4.
|
H9
|
H9-LMP1
|
Mean
|
8.87
|
10.369
|
Standard Deviation
|
2.476
|
3.603
|
Standard Error
|
0.639
|
0.930
|
Median
|
6.52
|
11.45
|
Confidence Level (95.0%)
|
|
|
5.
Graph
1 visually compares the mean of TNF-α
secretion between the EBV-negative T-cell line (H9) and H9-LMP1.
From
looking at the graph I can conclude that the level of TNF-α secretion is higher when LMP1 expressing vector is expressed on the T-cell line H9.
6.
By looking at the graph and the mean, median and standard deviation values, a
dump-bell curve can not be seen to indicate the normality of the results,
therefore, a further t-test must be carried out to check for the normality of
the results.
7.
To make the results normally distributed I have to multiply each value by by log10 then carry
out a t-test.
8.
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