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Describe plan for data analysis for demographic variables (descriptive statistical tests).

Describe plan for data analysis for demographic variables (descriptive statistical tests).

Describe plan for data analysis for demographic variables (descriptive statistical tests).
ORDER NOW FOR AN ORIGINAL PAPER ASSIGNMENT: Assignment: Nursing Research Methodology

Assignment: Nursing Research Methodology

write a 1-page paper addressing the sections below of the research proposal.


Data Analysis Plans
Describe plan for data analysis for demographic variables (descriptive statistical tests).
Describe plan for data analysis of study variables (descriptive and inferential statistical tests).
Here is my data analysis and plans.
Parametric and non-parametric tests according to changingminds.org (2016) are two types of ways to test research. Parametric has a standard dissemination that provides more inferences and the design can be statistically defined also known as bell shaped, while those that do not fit the normal bell curve would be classified as non-parametric (changingminds.org, 2016). Changingminds.org (2016) notes that parametric testing tests data that is ratio or interval and measures the mean to draw more deductions while parametric uses ordinal or nominals and measures the median allowing for uncomplicatedness therefore are least affected by variables.

Assignment: Nursing Research Methodology

Types of parametric tests for correlation is a Pearson test. For independent measures of two groups there is a t-test or for more than two groups the ANOVA measurement. While non-parametric tests for correlation is Spearman testing. For groups of two there is the Mann-Whitney test or the Kruskal-Wallis test for two or more groups (Changingminds.org, 2016). According to Real-Statistics.com (2016) four assumptions are needed. There needs to be a normal or symmetric distribution, the information collected must have the same differences, statistics have a linear correlation, and the figures are independent.

My project is does increasing nursing staff on the floor decrease patient’s LOS related to unnecessary errors. The research hypothesis is that nurses who have an increase in patient load also have an increase in patient errors including medications and safety. The data analysis plan for my project is Pearson for correlation and one-sample median test. My null hypothesis is that there were no patient incidents. By ensuring that my sample size is close to 100, by use of the Central Limit Theorem, I will be able to guarantee the normal distribution of my dependent variable.


Changingminds.org. (2016). Retrieved from http://changingminds.org/explanations/research/analysis/parametric_non-parametric.htm.

Real-statistics.com. (2016). Retrieved from http://www.real-statistics.com/descriptive-statistics/assumptions-statistical-test/.

Below you will find what I have to this point as far as paper and references. Thank you.

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