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In the study of the effect of physical education on mental alertness, the independent variable is what the researcher manipulates to observe changes in other variables. Here, the independent variable is the type of class the students attend: either a physical education (PE) class or a science class. The independent variable is crucial because it helps establish a controlled environment in which the researcher can isolate the effects of their manipulation on the dependent variable.

To set this up properly, the researcher chose different classes for morning sessions. By doing so, she created two distinct groups with different experiences. This helped ensure that any difference in attentiveness observed could be more confidently attributed to the type of class attended, rather than other external factors. This method of controlling variables is a vital part of experimental design.

• PE class
• Science class

The variety in class type acts as a level of the independent variable, allowing comparisons to see its impact on student attentiveness.

The dependent variable is what the researcher measures in the experiment. It is affected by changes in the independent variable. In this scenario, the dependent variable is the attentiveness of the students, as determined by the survey results they fill out after class.

Measuring the dependent variable provides insights into the outcomes of the experiment. In this case, the survey results offer a tangible way to gauge the students' mental alertness. It’s important to have a consistent and reliable measure of the dependent variable to ensure the results are valid.

Understanding how the independent variable affects the dependent variable is the backbone of experimental research. This relationship is precisely what researchers are interested in when they study changes and effects.

• Result measured: Student attentiveness through a questionnaire

Hypothesis testing is a fundamental part of experimental research. It involves making a prediction about the anticipated effects and then testing to see if there is a statistical relationship between the two studied variables. In the context of this exercise, the researcher hypothesizes that attending a physical education class in the morning may enhance attentiveness compared to attending a science class.

The hypothesis is essentially an educated guess that serves as a starting point for your research. It usually predicts a significant difference or relationship due to the independent variable. In this case, if the researcher’s hypothesis is right, the students from the PE class should show a noticeable increase in attentiveness on their questionnaires compared to those from the science class.

• Initial Hypothesis: Type of class affects attentiveness

Once the hypothesis is formulated, it is crucial to use a structured method, or statistical analysis, to test the validity of the results.

Statistical analysis involves collecting, reviewing, and drawing conclusions from data. In this study, after gathering the questionnaire responses from students in both the PE and science classes, the researcher uses statistical methods to interpret the results.

Statistical analysis will help determine if the changes in attentiveness are significant enough to be attributed to the type of class rather than by chance. Various statistical tools and tests, like a t-test, could be used to analyze the results. If the analysis shows significant differences, it supports the hypothesis that the physical education class improves attentiveness. If not, it might suggest that other factors are influencing attentiveness.

• Purpose: Determine if differences are statistically significant
• Outcome: Support or refute the research hypothesis

This step is crucial as it provides the evidence base to accept or reject the hypothesis.