Two Sample t - Test

The two sample t – test is one of the most useful and widely used statistical tests. It tests for the equality of the means of two samples, subject to the assumptions:

The two sample both arise from normal distributions.

The variances of the populations of the two samples are the same. In practice we do not usually know the population variance and must use the sample variance as an estimator. If the two sample variances are not 'too dissimilar', then the population variances are often assumed to be the same.

The t test is so useful because the data does not need to be paired in any way, and takes all the data into account to give the most reliable results.

First define the pooled standard deviationIf the sample sizes areand m respectively and the standard deviations areandrespectively then

The null distribution for two samples from populationsandwith sample meansandassuming the conditions above are met iswhereis the pooled standard deviation.

Example: The data below is for compression strength of cans of cola and strawberryade.


Sample Size

Sample Mean

Standard Deviation









Does the higher carbonation of cola suggest higher compressive strength?

The null and alternative hypotheses areandrespectively. The test is one sided.

The test statistic is

At significance level ofWe do not reject the null hypothesis at this level.

We can also test the two sample for a mean difference ofwith using

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