QUESTION

DATA ANALYSIS

I ONLY NEED THE PART IN RED COMPLETED.

THIS IS A GROUP PROJECT AND THAT IS MY PORTION IN RED.

Data Analysis—Small Group Discussion

As a nurse engaged in evidence-based practice, it is important to recognize how statistics and other data analysis tools are used to generate and assess evidence. Most nurses need only a foundational understanding of statistical tools and terminology to understand the majority of research studies. As a nurse, you should be able to recognize the most commonly used statistical tests, how and when they are used, and how significance is determined.

In this Discussion, you examine different types of statistics and statistical tests, when and why these particular tests would be selected for use, and, most importantly, what the results indicate. To this end, you will be assigned to a group by Day 1 of this week. Each group will be assigned one of the five chapters listed in this week’s Learning Resources and will develop a study sheet on their chapter that will be shared with the other groups.

The most commonly used inferential statistical tests: An explanation of the key statistical tests and how they measure significance (if applicable). 

This week, you are introduced to the process of data analysis. You examine different types of statistics and statistical tests and when they are used. You also assess how to interpret the results of statistical tests.

-For this discussion post, we will…

Inferential Statistics Study Guide

  1. Inferential Statistics, which is based on the laws of probability.
    • A description of the statistical methods covered in the chapter
    • what they measure
    • under what circumstances they are used
    • Identify examples of how the statistical methods have been used in research studies.
  2. Sampling Distributions
  3. Estimates of Parameters
  4. Levels of Significance
  5. The most commonly used inferential statistical tests: An explanation of the key statistical tests and how they measure significance (if applicable).
    • t-tests
    • analysis of variance (ANOVA)
    • chi-square tests
  6. The process of testing correlations

Understanding the Basics

Discuss why it is important for nurses to understand the basics of these statistical methods.

L

Conclusion

References

Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Philadelphia, PA: Wolters Kluwer.

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