HP 39g+ Graphing manual One-Sample T-Test

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 ∝
	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
9-12	Inference aplet