The

**independent**samples**t**-**test**compares the difference in the means from the two groups to a given**value**(usually 0). In other words, it**tests**whether the difference in the means is 0.Hereof, what T value is statistically significant?

A

**statistically significant t**-test result is one in which a difference between two groups is unlikely to have occurred because the sample happened to be atypical.**Statistical significance**is determined by the size of the difference between the group averages, the sample size, and the standard deviations of the groups.Also to know, what is an independent samples t test used for?

**Independent Samples t Test**. The

**Independent Samples t Test**compares the means of two

**independent**groups in order to determine whether there is statistical evidence that the associated population means are significantly different. The

**Independent Samples t Test**is a parametric

**test**.

What is the P value in an independent t test?

**Independent**group

**t**-

**test**

**t**-

**test**is designed to compare means of same variable between two groups. The interpretation for

**p**-

**value**is the same as in other type of

**t**-

**tests**. In this example, the

**t**-statistic is -3.7341 with 198 degrees of freedom. The corresponding two-tailed

**p**-

**value**is 0.0002, which is less than 0.05.

Is a high T value good?

If the

**t value**is**high**, it means that the 'net' difference between the scores for EACH participant is relatively**large**, and could be evidence that the intervention variable or the treatment was effective. Strong evidence indeed that SOMETHING REAL was happening, and you can reject the null hypothesis!