Using Test Statistics

The following table lists the two single sample statistical confidence tests: a mean test and a Stdev test (standard deviation test).

Equation	Statistic
	The mean test is a t-test that tests the mean of the current sample versus a target mean that you supply. Once the t value is calculated, it is compared to the t statistic (table value), which is determined by the confidence level selected for a one-sided test. The test assumes that the samples are normally distributed. See References.
	The standard deviation test is a chi-square test that tests the standard deviation of the current sample versus a target standard deviation that you supply. Once the chi-square value is calculated, it is compared to the chi-square statistic (table value), which is determined by the confidence level selected for the test. The standard deviation test has a limitation of = 100. See References.

Equation

Statistic

The mean test is a t-test that tests the mean of the current sample versus a target mean that you supply. Once the t value is calculated, it is compared to the t statistic (table value), which is determined by the confidence level selected for a one-sided test. The test assumes that the samples are normally distributed.

See References.

The standard deviation test is a chi-square test that tests the standard deviation of the current sample versus a target standard deviation that you supply. Once the chi-square value is calculated, it is compared to the chi-square statistic (table value), which is determined by the confidence level selected for the test. The standard deviation test has a limitation of

= 100.

See References.