NURS 8201 Week 4 Assignment: 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.

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.

_{Reference: Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.}

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.

SOLUTION NURS 8201 Week 4 Assignment: Frequency and Descriptive Statistics

Introduction

Descriptive statistics and frequency analysis are important methods for interpreting and summarizing data distributions. Descriptive statistics provide important insights into the central tendency, dispersion, and form of data, assisting in the interpretation of patterns (Washington et al., 2020). Mode, median, and mean are used to describe a dataset’s central tendency, whereas standard deviation and range represent dispersion. In contrast, frequency analysis focuses on the occurrence of values within a dataset, which is typically represented by histograms or frequency tables (Jacod, 2021). It assists in identifying the most common values or ranges in the data. Descriptive statistics are used to provide a concise description of the dataset’s features, which helps guide decision-making processes…

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