Ive struggled with determining how to make conclusions with
I\'ve struggled with determining how to make conclusions with statistical tests. For this particular problem, two sets of data. Are they the same or not? I calculated the following:
n
Mean
Standard Deviation
SE Mean
Sample 1
64
383.781
252.8991
31.612
Sample 2
64
453.469
290.9491
36.369
DF=123
T value: -1.4462
P value 0.1506
Because the T value is lower than the P value, we reject the null hypothesis that the two samples are from the same population. Are my conclusions correct?
| n | Mean | Standard Deviation | SE Mean | |
| Sample 1 | 64 | 383.781 | 252.8991 | 31.612 |
| Sample 2 | 64 | 453.469 | 290.9491 | 36.369 |
Solution
Your conclusions are incorrect.
The p value that is calculated is determined based upon The T statistic or T value and the degrees of freedom.
Here, as the p value is greater than the significance level (which is usually 0.05), we accept the null hypothesis.
Rule: Conclusions of a statisitcal test is done using p value and significance level.
If p value > significance level, => Accept null hypothesis
If p value < significance level, => Reject null hypothesis
