Question

In two-tailed t tests for independent distributed samples, the p-value is determined by many parameters. How do the different parameters of the distributions affect the resulting p-value?

Answer 1

Solution:

In two tailed test p-value parameters are as follows:
1. Degree of freedom
2. Test statistic
3. One tailed or two tailed test
4. alpha value

As our test statistic value increases than p-value decreases and vice versa.
As our df increases than p-value decreases.
If our test is two tailed test than p-value spread over two tailes and become half to the actual p-value.
If alpha value is greater than p-value than we can to reject the null hypothesis else we are failed to reject the null hypothesis.

So these are the three parameters for independent two sample t test