Solved: Week 4 Assignment: Frequency and Descriptive Statistics

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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.

For this Assignment, 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.

To Prepare:

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.

The Assignment: (2–3 pages)

Summarize your interpretation of the frequency data provided in the 

output for respondent’s age, highest school grade completed, and family 

income from prior month.  

Note: A frequency analysis is way of summarizing data 

by depicting the number of times a data value occurs in the data table 

or output. It is used to analyze the data set including where the data 

are concentrated or clustered, the range of values, observation of 

extreme values, and to determine intervals for analysis that could make 

sense in categorizing your variable values.

Summarize your interpretation of the descriptive statistics provided

 in the output for respondent’s age, highest school grade completed, 

race and ethnicity, currently employed, and family income from prior 

month.

Note: The descriptive analysis includes N (size of your

 sample), the mean, the median, the standard deviation, the size and 

spread of your data to determine the variability/variance in your data. 

Reminder: The College of Nursing requires that all 

papers submitted include a title page, introduction, summary, and 

references. The Sample Paper provided at the Walden Writing Center 

provides an example of those required elements (available at https://academicguides.waldenu.edu/writingcenter/templates/general#s-lg-box-20293632

Links to an external site.). All papers submitted must use this formatting.

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