Inputs

The inputs are:

 

 

 

 

 

Field name

Definition

 

 

 

 

X1

Sample 1 mean.

 

X2

Sample 2 mean.

 

n1

Sample 1 size.

 

n2

Sample 2 size.

 

α

Significance level.

Results

 

 

The results are:

 

 

 

 

 

Result

Description

 

 

 

 

Test π1–π2

Difference between the

 

 

proportions of successes in the

 

 

two samples.

 

Test Z

Z-Test statistic.

 

Prob

Probability associated with the

 

 

Z-Test statistic.

 

Critical Z

Boundary values of Z

 

 

associated with the α level that

 

 

you supplied.

 

 

 

One-Sample T-Test

Menu name

T-Test: 1 μ

 

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

 

standard deviation is not known. On the basis of statistics

 

from a single sample, this test measures the strength of the

 

evidence for a selected hypothesis against the null

 

hypothesis. The null hypothesis is that the sample mean

 

has some assumed value,

 

Η0 :μ = μ0

 

You select one of the following alternative hypotheses

 

against which to test the null hypothesis:

 

H1:μ < μ0

 

H1:μ > μ0

 

H1:μ ≠ μ0

11-12

Inference aplet