The t-test is a statistical hypothesis that takes samples from both groups to determine if there is a significant difference between the means of the two groups.
It compares both sample mean and standard deviations while considering sample size and the degree of variability of the data.
Steps:
1) State a hypothesis. A hypothesis is classified as a null hypothesis ( H0) and an
2) alternative hypothesis (Ha) that rejects the null hypothesis. The null and alternate hypotheses are defined according to the type of test being performed.
3) Collect sample data.
4) Conduct the test.
5) Reject or fail to reject your null hypothesis H0