Parametric test
Null hypothesis assumes that two group have same Expectation value.
Paired t-test (students’ t test)
Uses the same single sample variance with values obtained twice from the same group
Independent T-Test
Useful technique for comparing two sets of samples. It compares the averages of two groups and determine if the differences between them are more likely to arise from random chance.
Values from independent groups, with different variance calculations
The comparison will provide you with a statistic for evaluating whether the difference between the two sets is statistically significant.
In a t-test, like in most tests of significance, the significance threshold is traditionally set at (p-value)
