Null hypothesis is H0: drug A = drug B
Because you did not state a direction in your hypotheses (better than or worse than), this will be a two-tailed test. You are looking for differences in either direction. You would set your alpha level of .05 and have a sample for each group of 30 people that were volunteers for the study.
Example of Output You Would Use to Answer These Questions
t Test: Two-Sample Assuming Equal Variances |
||
Variable 1 |
Variable 2 |
|
Mean |
4.875 |
8 |
Variance |
5.267857143 |
18.28571429 |
Observations |
8 |
8 |
Pooled variance |
11.77678571 |
|
Hypothesized mean difference |
0 |
|
df |
14 |
|
t stat |
-1.821237697 |
|
P(T <= t) one-tail |
0.045002328 |
|
t Critical one-tail |
1.761310136 |
|
P(T <= t) two-tail |
0.090004655 |
|
t Critical two-tail |
2.144786688 |
Create a 12- to 15-slide presentation using the information you gathered . Include the following:
Raw Data below:
GROUP 1 | GROUP 2 |
1.3 | 6.5 |
2.5 | 8.7 |
2.3 | 9.8 |
8.1 | 10.2 |
5 | 7.9 |
7 | 6.5 |
7.5 | 8.7 |
5.2 | 7.9 |
4.4 | 8.7 |
7.6 | 9.1 |
9 | 8.4 |
7.6 | 6.4 |
4.5 | 7.2 |
1.1 | 5.8 |
5.6 | 6.9 |
6.2 | 5.9 |
7 | 7.6 |
6.9 | 7.8 |
5.6 | 7.3 |
5.2 | 4.6 |
9 | 8.4 |
7.6 | 6.4 |
4.5 | 7.2 |
1.1 | 5.8 |
5.6 | 6.9 |
6.2 | 5.9 |
7 | 7.6 |
6.9 | 7.8 |
5.6 | 7.3 |
5.2 | 4.6 |
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