Answer:
The correct option is e.
Step-by-step explanation:
p-value is the probability value for a given statistical model, the probability that, when the null hypothesis is true.
For two two samples the formula of test statistics is
![t=\frac{(\overline{x}_1-\overline{x}_2)-(\mu_1-\mu_2)}{\sqrt{(s_1^2)/(n_1)+(s_2^2)/(n_2)}}](https://img.qammunity.org/2020/formulas/chemistry/high-school/ka7hckgulr9wnaa6zyvazk9lwvb5jfyqto.png)
where,
is sample mean
is population mean.
is standard deviation.
n is sample size.
Variance is the square of standard deviation.
It means variance, mean, numbers of samples is used in calculation of p-value.
Degree of freedom define the shape of the t-distribution that your t-test uses to calculate the p-value.
![d.f.=n_1+n_2-2](https://img.qammunity.org/2020/formulas/chemistry/high-school/dj1pqgh46zi9vvauq8je8sp29phjzrxzbx.png)
p-value of a statistical test depends on all of the following, except median.
Therefore the correct option is e.