Answer – Null hypothesis, a zero difference hypothesis. A statement about status quo about a population parameter, which is being tested. It is a useful tool in testing the importance of differences. The null hypothesis claims that there is no real difference between the two population instruments, and the difference found between the sample mean is therefore accidental or unimportant (Garrett 1981). During a study or an experiment, the null hypothesis has been explained so that it can be tested for possible rejection. For example, to study the important differences in linguistic capacity of 8 years of girls and boys, we select random samples of girls and boys and manage the battery of oral testing, calculate the means of two groups. In this study, the null hypothesis can be described as such: There is no significant difference between the linguistic ability of boys and girls. If this null hypothesis is rejected then we can say that one group is superior to the other.