Mathematics and Statistics

I need a reply for a post from a fellow student this is the post : Research Module 10 Discussion Post Analyzing data collected from research involves the use of statistical analysis. Statistical analysis allows a researcher to obtain answers to the questions that initiated the research proposal in the first place (Gray & Grove, 2020). The study hypothesis is the most significant factor to consider when determining which statistical procedure to use because it specifies which statistics are needed to test it (Barroga & Matanguihan, 2022). For example, my PICOT question is, “In adolescents (P), how does engaging in physical exercise (I), compared to not engaging in physical exercise (C), impact depression symptoms (O)?”. My hypothesis is that adolescents who engage in exercise will have fewer depressive symptoms compared to those who do not engage in physical exercise. Consequently, I am looking for a statistic to examine the differences between my control and intervention groups (Ali & Bhaskar, 2016). One way to select an appropriate statistical procedure for a research study is to utilize a decision tree. A decision tree allows a researcher to select an appropriate statistic based on the nature of the research question or hypothesis, the measurement of the dependent or research variable, the number of groups or independent variable levels, and the research design (Gray & Grove, 2020). For my PICOT question, I will be looking at differences via ratio data between two groups of independent samples. Consequently, through the utilization of the decision tree, I have determined that I will use the independent samples t-test (Gray & Grove, 2020). The t-test for independent samples looks at the difference between two independent groups, or in my case, the control group versus my intervention group regarding depressive symptoms as measured by the Children’s Depression Inventory 2 scale (CDI 2). I will utilize statistical software, specifically, IBM’s Statistical Package for the Social Sciences (SPSS) Statistics 27.0 software, to determine an exact p-value (Ali & Bhaskar, 2016). A p-value of less than 0.05 will be considered statistically significant.

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