Test Mean from Summary Statistics

How To... > Work with Statistical Objects > Test Hypotheses > Test Mean from Summary Statistics

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You don’t need to have the raw data to perform a t-test. All you need is the count, sample mean, and standard deviation. This example shows a sample of colleges and acceptance rates, testing whether the population mean acceptance rate is significantly different from 0.5.

1.	Drag a hypothesis test from the shelf or choose Object \| New \| Hypothesis Test then choose Test Mean in the test’s pop-up menu.

2.	Edit the blue text to fill in your information (see Enter Summary Statistics in Statistical Inference Objects).

3.	Choose the desired sidedness of the test by clicking on “is not equal to” and choosing the option you want from the pop-up menu.

Any of the editable values can be given a formula instead of a typed value. Particularly useful is using a formula to tie a value to a slider. See Use Sliders to Vary Summary Information in a Statistical Object. For example, by using a slider for the sample count, you can discover what sample size would be required to reach some threshold p-value.