Assignment:
Data Analysis
It might be fun to read through the nonsense syllables of the poem, Jabberwocky, but, for those who are new to statistics, looking at statistical results can feel like trying to read and garner meaning from an unfamiliar language.
McNemar's test, Cochran's Q, ANOVA, and the Kruskal-Wallis H test may sound like something in another language, but they are all examples of statistical tests used to analyze quantitative data. Though the topic of statistics can seem intimidating and overwhelming, you can benefit from becoming familiar with the types of statistical tests, knowing when they are used, and understanding what they measure. Few people spend time calculating statistical significance using long columns of data and complex formulas, but in healthcare, it is useful, as they review resources for evidence-based practice, to have an acquaintance with the most commonly used statistical tests.
Discussion:
"Descriptive Statistics"
This introduces descriptive statistics, which, as the name implies, describe characteristics of the data. There is an overview of the different levels of measurement-nominal, ordinal, interval, and ratio-and how they are used. The chapter also defines frequency distributions and distinguishes between univariate and bivariate descriptive statistics.
"Inferential Statistics"
This focuses on inferential statistics, which are based on the laws of probability. It introduces sampling distributions, estimates of parameters, and levels of significance. In addition, the chapter provides an overview of some of the most commonly used inferential statistical tests, including t-tests, analysis of variance (ANOVA), and chi-square tests. Finally, the process of testing correlations is examined.
(Please Google Descriptive Statistics and Inferential Statistics come up with 1-2pg analysis:)
Question:
Develop a 2 page study sheet that includes the following:
o The key concepts: Focus on the basic concepts that are important for nurses to understand as they review research studies.
o A description of the statistical methods used and what they measure, and under what circumstances they are used. Identify examples of how the statistical methods have been used in research studies.
An explanation of the key statistical tests and how they measure significance (if applicable).
• Analyze the use of various statistical tests for analyzing data
• Assess the significance of nurses understanding statistical methods