HP Prime Graphing NW280AAABA manual Two-Sample T-Test, Test μ1 μ2

Inputs	The inputs are:
	Field name	Definition
	x	Sample mean
	s	Sample standard deviation
	n	Sample size
	μ0	Hypothetical population mean
	α	Significance level
Results
	The results are:
	Result	Description
	Test T	T-Test statistic
	Test x	Value of x associated with the
		test t-value
	P	Probability associated with the
		T-Test statistic
	DF	Degrees of freedom
	Critical T	Boundary value(s) of T
		associated with the α level that
		you supplied
	Critical x	Boundary value(s) of x required
		by the α value that you supplied

Two-Sample T-Test

Menu name	T-Test: μ1 – μ2
	This test is used when the population standard deviation is
	not known. On the basis of statistics from two samples,
	each sample from a different population, this test
	measures the strength of the evidence for a selected
	hypothesis against the null hypothesis. The null hypothesis
	is that the two populations means are equal, Η0: μ1 = μ2.
	You select one of the following alternative hypotheses
	against which to test the null hypothesis:
	H0: μ1 < μ2
	H0: μ1 > μ2
	H0: μ1 ≠ μ2

Inference app 251