5.6.1.1 - Pooled Variances

Hypothesis Tests for \(\mu_1− \mu_2\): The Pooled t-test Section

Now let's consider the hypothesis test for the mean differences with pooled variances.

Null:

\(H_0\colon\mu_1-\mu_2=0\)

Conditions:

The assumptions/conditions are:

  • The populations are independent
  • The population variances are equal
  • Each population is either normal or the sample size is large

Test Statistic:

The test statistic is...

\(t^*=\dfrac{\bar{x}_1-\bar{x}_2-0}{s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}}}\)

And \(t^*\) follows a t-distribution with degrees of freedom equal to \(df=n_1+n_2-2\).

The p-value, critical value, and conclusion are found similar to what we have done before.