The first step in the design will be to make an observation of a social event or situation. In this instance, such observation has already been made, the outcome of which has helped in determining the two variables to use. This is because of De Voss et. Al. (1982) indicated that when observations are made about issues that are unknown, unexplained or new, it helps in formulating problems from the observed issues. The problem that will be dealing with can, therefore, be said to be the impact of aptitude test on success in an algebra course. That is, if aptitude test correlates positively with success with algebra test, then it means students’ failure can be associated with low aptitude test outcomes.The second step in the design will be to formulate a hypothesis or a set of hypotheses that explain the observations. A hypothesis is a general claim made about the relationship between the variables before actual data collection begins (Meredith, Gall, and Borg, 2007). The hypothesis must, however, be approached in such a way that it can be tested as being either valid or not valid. Depending on the background research performed on the variables, it will be possible to easily formulate a hypothesis that can be validated. For this topic, a possible hypothesis is that there is no relationship between an aptitude test and success with algebra course.The third stage is one of the most important, where the researcher designs or formulates a plan to test the hypothesis that has been set.