Using information from a sample inference statistics enable researchers to make differences about the population. They try determining the probability that the is collected in the findings that are consequence of the independent variable. (McBride, 2018, p. 130). The distribution is made by combining the means of all feasible samples drawn from the population of a specific size is known as the sample mean distribution. If the sample size is large enough, it produces an average distribution around the population mean. To be able to determine if the sample mean differs from the population mean as a result of the independent variable's change or falls within the range of random variation, this idea is related to hypothesis testing (McBride, 2018, p. 132)