Two-Sample T-Test

Menu name

T-Test: ∝1 – ∝2

 

 

The Two-sample T-Test is used when the population

 

standard deviation is not known. On the basis of statistics

 

from two samples, each sample from a different

 

population, this test measures the strength of the evidence

 

for a selected hypothesis against the null hypothesis. The

 

null hypothesis is that the two populations means are

 

equal H 0: ∝1 = ∝2.

 

You select one of the following alternative hypotheses

 

against which to test the null hypothesis

 

 

 

 

 

H1:∝1 < ∝2

 

 

 

 

 

H1:∝1 > ∝2

 

 

 

 

 

H1:∝1 ≠ ∝2

Inputs

The inputs are:

 

 

 

 

 

 

 

 

Field

 

Definition

 

name

 

 

 

 

 

 

 

 

 

 

 

 

 

Sample 1 mean.

 

x1

 

 

 

 

 

 

Sample 2 mean.

 

x2

 

 

S1

 

Sample 1 standard deviation.

 

S2

 

Sample 2 standard deviation.

 

n1

 

Sample 1 size.

 

n2

 

Sample 2 size.

 

α

 

Significance level.

 

_Pooled?

 

Check this option to pool samples

 

 

 

 

 

based on their standard deviations.

 

 

 

 

 

 

9-14

Inference aplet