HP 40G manual Hypothesis tests, One-Sample Z-Test, Menu name, Inputs

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/40G 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 1 mean
	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 ∝ < ∝0
			H1 :∝ > ∝0
			H1 :∝ ≠ ∝0
Inputs	The inputs are:
	Field name		Definition
			Sample mean.
		x
	n		Sample size.
	∝0		Hypothetical population mean.
	σ		Population standard deviation.
	α		Significance level.

Inference aplet 9-9