Hypothesis Testing for the Difference in the Means of Two Normal Populations
If we have two populations with population statisticsandthenthe mean difference between the means of two samples isandif the sample sizes areand(frompopulations 1 and 2 respectively) are large, then difference betweenthe sample means is normally distributed:(fromthe central limit theorem).
When the sample sizes are small we need to make the additionalassumptions
The samples are independent
The variances of the populations are equal
In practice the sample variances can be very dissimilar, but theequality of the population variances can be tested using the F –test.
In general we do not know the population variances and mustcalculate estimates for the population variances,andIfwe assumeandarenormally distributed then we can use an estimator for commonvarianceand the difference between the means of the two samples is has a t –distribution withdegreesof freedom
Example: A sample of the heights of boys and girls is taken andthe following results are obtained. Conduct a hypothesis test thatboys are 3 cm taller than girls.
Boy's heights: 153, 149, 148, 158, 159, 141, 142, 145
Girl's heights: 143, 147, 133, 126, 139, 132, 143
This is greater thansothere is evidence to reject the null hypothesis thatBoysare more than three cm taller than girls.