| 
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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