FREQUENCY AND DESCRIPTIVE STATISTICS

 

Imagine that you have collected data from 100 patients. You have carefully compiled vitals, pain scores, and medications for each of the patients. However, what does all of this data mean? Is your work now done?
How do we make data meaningful? Why must we move beyond the raw data to ensure that data is purposeful?
Descriptive analysis is the analysis of the data to develop meaning. Descriptive analysis provides meaning through showing, describing, and summarizing the data compiled to “reveal characteristics of the sample and to describe study variables” (Gray & Grove, 2020). This allows the researcher to present data in a more meaningful and simplified way.
summarize your interpretation of the descriptive statistics provided to you in the Week 4 Descriptive Statistics SPSS Output document. You will evaluate each variable in your analysis.

• Review the Week 4 Descriptive Statistics SPSS Output provided in this week’s Learning Resources.
• Review the Learning Resources on how to interpret descriptive statistics, including how to interpret research outcomes.
• Consider the results presented in the SPSS output and reflect on how you might interpret the frequency distributions and the descriptive statistics presented.

 

 

 

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