From the Type category, select Statistical Analyses and t tests (and nonparametric test). In the Analyze Data dialog box, choose Built-in analysis. For our example, we've labeled the groups "Control" and "Treated".Ĭlick on the Analyze button. The data for one treatment group will be entered under the heading "A", and the data for the other treatment group will go under the heading "B". We want to compare experimental observations made on two sample groups treated in different ways. When you click OK to exit the "Welcome dialog", Prism displays an empty data table.Įnter the data into the table. Format the Y column as A single column of values-although we'll have two Y columns of data, there will only be one column per data set. When doing a t test, Prism analyzes any two Y columns that you designate it pays no attention to the X column. Under the X Column category, select None. In the Welcome to Prism dialog box, select Create a new project and Work independently. To use Prism to perform a t test, follow these steps: As with other statistical tests, your experimental design and data should fulfill certain criteria, and the results should be interpreted carefully. A t test, typically done to compare observations made in two groups subjected to different experimental treatments, is probably the most common statistical analysis.
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