HP 39g Hypothesis tests, One-Sample Z-Test

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 39g+ hypothesis tests use the Normal
	Z-distribution or Student’s t-distribution to calculate
	probabilities.
One-Sample Z-Test
Menu name	Z-Test: 1 ∝
	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: ∝ = ∝0.
	You select one of the following alternative hypotheses
	against which to test the null hypothesis:
			H1:∝1 < ∝2
			H1:∝1 > ∝2
			H1:∝1 ≠ ∝2
Inputs	The inputs are:
	Field name		Definition
			Sample mean.
		x
	n		Sample size.
	∝0		Hypothetical population mean.
	σ		Population standard deviation.
	α		Significance level.

9-8 Inference aplet