ABSTRACT
This chapter focuses on the testing of hypotheses about differences between means and percentages. It explains the purpose of two-sample test of hypothesis for the mean and the percentage. The chapter provides tests of hypotheses about the differences between two population parameters such as the mean and the percentage. It explains the methodology involved in conducting these tests. The two-sample hypothesis tests of means assist us in making inferences about the population by using sample data to see if there is a statistically significant difference between the means of two populations. The most common test of comparison between two populations is the test for comparing two means. If the samples are selected independently of each other, the procedure is similar to that used when testing a hypothesis for a single sample mean. The basic assumption in hypothesis testing between two means or percentages is that there is no difference between the two populations.
