Data Analysis Plan

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Data Analysis Plan

The quantitative research will examine the gathered data using various statistical methods. The data will be analyzed using both descriptive and inferential statistics. Numerous variables will be examined (such as age of participants, gender, time taken to exercise, likelihood of exercise, and blood pressure levels). The variables will dictate the type of tests that will be utilized. The variable’s measurement level determines the correct test to describe a particular data (Mishra et al., 2019). Descriptive statistics will aid in summarizing participant demographic information. Descriptive statistics such as mean and standard deviation will be produced for continuous variables; for categorical variables, frequencies will be calculated. Additionally, graphs will be utilized to show important trends.https://penstrokeswriters.com/data-analysis-plan/

A pie graph or a bar graph will be used to analyze data for nominal- and ordinal-level variables. Both alternatives will enable the evaluation of the relative number of participants within each group, while a bar graph will be utilized to examine absolute numbers (Amrhein et al., 2019). Interval- and ratio-level variables will be interpreted using a pie chart or bar chart; however, these variables frequently contain too many categories for such graphs to convey important information; a histogram may be a better way to analyze these values (Lind et al., 2017).

When choosing an acceptable inferential statistic for research, there are three critical questions to consider: What research question are being addressed? What is the study’s methodology? And what is the measuring scale? Exploring these concerns thoroughly while constructing the study protocol and analytic strategy is essential (Hernandez et al., 2020). The research aims to establish how exercise combined with medicine compares to medication alone while treating blood pressure. The primary variable, in this case, is exercise. Correlation analysis will be conducted to ascertain whether or not there is a correlation between exercise and blood pressure levels. To evaluate variations in the means of pressure measurements before and after therapy, either an ANOVA or an independent t-test will be used. These studies will assess whether exercise in conjunction with medicine is more successful at controlling hypertension than medication alone.

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