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An Independent-Samples T Test is used to determine the likelihood that two independent data samples came from populations with identical means. If this were true, then the difference between the means should equal zero. In this case, the null hypothesis would indicate that the two means are equal.

Two variables are required in the data set. One variable is the measured parameter. Examples include weight, height or frequency. The second variable divides the data set into two groups. The means of the light and dark groups will be compared. Created by the ITS Training Program at CSULA for students.

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