A critical value is a point on the t-distribution that is compared the test statistic hypothesis in hypothesis testing.
The significance level is a pre-determined threshold that is used to determine whether the P value is statistically significant or not. The most commonly used significance level is 0.05, which means that there is a 5% chance that the observed result occurred by chance.
A P value is a probability that measures the level of significance of an observed result. It measures the likelihood of obtaining a result as extreme as the one observed, assuming that the null hypothesis is true.
For Two Independent Variables
For one independent variable
Check the difference between the two
It also checks the difference between
the two groups
A null hypothesis (H0) shows there is no significant difference between the two parameters in growth, weight, and any other effect. On the other hand, the alternate hypothesis (H1) shows the significant difference between the two parameters in growth, weight, and any other effect.