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When you test for a difference between two population means?

As with comparing two population proportions, when we compare two population means from independent populations, the interest is in the difference of the two means. In other words, if is the population mean from population 1 and is the population mean from population 2, then the difference is μ 1 − μ 2 .

What is the purpose of a two

The t-tests looks at the differences in two samples and examines their means relative to the spread or variablity of the scores. It is used when comparing within subjects (dependent sample) or between different subjects (independent sample).

What conditions are necessary in order to use the t

Two-sample t-test assumptions Data in each group must be obtained via a random sample from the population. Data in each group are normally distributed. Data values are continuous. The variances for the two independent groups are equal.

What are the conditions for a two

Two-Sample T-Test Assumptions.
The assumptions of the two-sample t-test are: The data are continuous (not discrete)..
The data follow the normal probability distribution. ... .
The two samples are independent. ... .
Both samples are simple random samples from their respective populations..