Sampling article review and scales of measurement

Variables Dependent and independent variables are significant in any experimental research. The independent variable is easily controlled in analysis to test the changes it has on the dependent variable. In every scholarly research, the dependent variable is often the one under test. Hypothesis Two types of hypotheses are null and alternative in any scholarly research. An existing assumption uses the sampled data information to conclude the null hypothesis. In the interval level, the absolute zero is not present, such as when measuring degree using the centigrade scale (Schranz, Nordholm & Nyman, 2017). The distance at the interval level is very significant. In the ordinal level, the aspect of length is not vital, and it can be seen while researching ranks among professors and the military officers.

The lowest level of measurement is nominal, and in most cases, it is exhaustive. The value of the sampled gender and marital status are significant examples of the theoretical levels of measurement. In the study, both the control and experimental groups received varying techniques of teaching. A varying pedagogy of education was applied in the experimental group. The teacher, in this case, worked as the facilitator and proposed methods of solving the mathematical problems (Bucher, 2018). Students, in this case, discussed and analyzed the answers to understand how the final solutions were achieved. A typical lecture surrounding was used as the exposure in the control group. Self-efficacy and reduction in math anxiety levels are evident when the type of learning is students centered.