Answer:
The correct option is e.
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
[tex]t=\frac{(\overline{x}_1-\overline{x}_2)-(\mu_1-\mu_2)}{\sqrt{\frac{s_1^2}{n_1}+\frac{s_2^2}{n_2}}}[/tex]
where,
[tex]\overline{x}[/tex] is sample mean
[tex]\mu[/tex] is population mean.
[tex]s[/tex] 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.
[tex]d.f.=n_1+n_2-2[/tex]
p-value of a statistical test depends on all of the following, except median.
Therefore the correct option is e.
