Hypothesis tests

 

You use hypothesis tests to test the validity of hypotheses

 

that relate to the statistical parameters of one or two

 

populations. The tests are based on statistics of samples

 

of the populations.

 

 

The HP 39gs hypothesis tests use the Normal

 

Z-distribution or Student’s t-distribution to calculate

 

probabilities.

 

One-Sample Z-Test

 

Menu name

Z-Test: 1 μ

 

 

On the basis of statistics from a single sample, the

 

One-Sample Z-Test measures the strength of the evidence

 

for a selected hypothesis against the null hypothesis. The

 

null hypothesis is that the population mean equals a

 

specified value Η0: μ = μ0.

 

You select one of the following alternative hypotheses

 

against which to test the null hypothesis:

 

 

H1:μ1 < μ2

 

 

H1:μ1 > μ2

 

 

H1:μ1 ≠ μ2

Inputs

The inputs are:

 

 

 

 

 

Field name

Definition

 

 

 

 

x

Sample mean.

 

n

Sample size.

 

μ0

Hypothetical population mean.

 

σ

Population standard deviation.

 

α

Significance level.

 

 

 

11-8

Inference aplet