Results

The results are:

 

 

 

 

 

Result

Description

 

 

 

 

Test P1–P2

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

 

 

 

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 :∝ = ∝0

 

 

 

You select one of the following alternative hypotheses against

 

which to test the null hypothesis:)

 

 

H1:< 0

 

 

H1:> 0

 

 

H1:∝ ≠ ∝0

Inputs

The inputs are:

 

 

 

 

 

 

 

Field name

Definition

 

 

 

 

 

 

x

Sample mean.

 

 

Sx

Sample standard deviation.

 

 

n

Sample size.

 

 

∝0

Hypothetical population mean.

 

 

α

Significance level.

 

 

 

 

 

 

 

 

 

Inference aplet

9-13