Inputs

The inputs are:

 

 

 

 

 

Field name

Definition

 

 

 

 

x

Number of successes in the sample.

 

n

Sample size.

 

π0

Population proportion of successes.

 

α

Significance level.

Results

 

 

The results are:

 

 

 

 

 

Result

Description

 

 

 

 

Test P

Proportion of successes in the sample.

 

Test Z

Z-Test statistic.

 

Prob

Probability associated with the Z-Test

 

 

statistic.

 

Critical Z

Boundary value of Z associated with

 

 

the level you supplied.

 

 

 

Two-Proportion Z-Test

 

Menu name

Z-Test: π1 – π2

 

 

On the basis of statistics from two samples, each from a

 

different population, the Two-Proportion Z-Test measures

 

the strength of the evidence for a selected hypothesis

against the null hypothesis. The null hypothesis is that the proportion of successes in the two populations is equal H0: π1= π2.

You select one of the following alternative hypotheses against which to test the null hypothesis:

H1:π1 < π2

H1:π1 > π2

H1:π1 ≠ π2

Inference aplet

11-11