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## Statistical Practice Student T-Test

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Instructions:Statistical Practice Student T-Test

To add to your statistical programming skills and prepare you for the next unit, we will be using SPSS to solve the parametric t-testing in this unit.

Instructions

For this discussion, use the data found in the Emotional Well-Being data set you created previously. You will have to use two t-tests: independent samples (unpaired) t-test and the dependent samples (paired) t-test.

Independent Samples (Unpaired) T-test

To determine the varying effects of the dietary treatment on males versus females (which are, admittedly, “independent”of each other), perform an independent samples t-test on the Well-Being dependent variable in male participants compared to the same scores in female participants. Note you will need to create a new dependent variable related to the treatment-related change in well-being scores (

Hint:Change score = Post-Tx Well-Being – Baseline SF-36 Well-Being Score).Dependent Samples (Paired) T-test

Next, to compare the effects of the Dietary Treatment on the well-being of males at baseline to well-being scores in the same males after treatment, perform a dependent (paired) samples t-test for the dependent variable Well-Being (Hint: use Baseline versus Post-Tx).

For your initial post, complete the following:

- Describe, in your own words, 2 or 3 research project scenarios in which to use these t-tests.
- Report,using the Emotional Well-Being data set, the results of the t-testing that you perform. Report the appropriate all the statistical outcomes, including the 95% confidence interval.
- Provide a 1-2 sentence practical interpretation that includes a practical explanation of the different confidence intervals, based on the results.

- How do the interpretations ofyour peers compare to yours?
This activity will help you achieve the following learning components:

- Identify normal and non-normal data distribution.
- Identify ordinal data.
- Identify the differences among t-testing, Mann-Whitney, and Wilcoxon Rank Sum testing.
- Perform the appropriate tests with data for each question.
- Identify the statistical output (estimate, p-value, confidence interval, effect size) from each statistical test.
- Select the most appropriate testing strategy for a set of data.
- Appropriately interpret the statistical output (estimate, p-value, confidence interval, effect size) resulting from each statistical test.
- Describe the practical significance of statistical test results.
Resources

OPTIONAL REOURCE: Geher, G., & Hall, S. (2014). Straightforward statistics: Understanding the tools of research. New York, NY: Oxford University Press.

PART TWONormal Data Distribution and Two-Variable Correlation Testing

Overview

One of the most important steps along the researcher’s path to data analysis is to become familiar with the character of the raw data collected for the project. Before weaving the strands of data into an analytical story that is related to a study’s goals, researchers typically inspect the completeness and quality of the data with various visualization techniques (graphics), summary tables, and mathematical tests of quality (assumption tests). One of these latter tests is a correlation analysis. With this approach, the researcher performs a very basic series of exploratory tests on variable pairs to identify any potentially interesting (yet unknown) relationships between groups of data (variables). Correlational analyses are often later performed as part of the predetermined data analysis plan to answer a specific research question.

Demonstration of Proficiency

By successfully completing this assessment you will address the following Scoring Guide Criteria, which align to the indicated course competencies.

- Competency 1: Describe underlying concepts and reasoning related to the collection and evaluation of quantitative data in health care research.
. Interpret the overall clinical meaning and limitations of the relationship of two variables, based on a correlation analysis and literature regarding age and stress.

- Competency 2:Apply appropriate statistical methods using common software tools in the collection and evaluation of health care data.
. Create a histogram and scatter plot for variables tested for normal distribution.

. Perform a normal distribution assumption test for two variables to determine if data is normally distributed.

. Perform an appropriate correlation test to determine the direction and strength or magnitude of the relationship between two variables.

- Competency 3:Interpret the results and practical significance of statistical health care data analyses.
. Interpret the effect size for correlation analysis results.

- Competency 5: Address assignment purpose in a well-organized text, incorporating appropriate evidence and tone in grammatically sound sentences.
. Articulate meaning relevant to the main topic, scope, and purpose of the prompt.

. Apply APA formatting to in-text citations and references.

Instructions

For this three-part assignment, complete the following, referring tothe helpful links in Resources:

Part 1: Graphic Representation of the Data From the Yoga Stress (PSS) Study Data Set

- Using the readings, media, and resources discussed to date, create a histogram or bar graph (according to the measurement level of the data) of the following variables: Age, Education, Pre-intervention Psychological Stress Score (PSS).
- Using the readings, media, and other resources discussed to date, create a scatter plot of the following pair of variables: Age Versus Pre-intervention Psychological Stress Score (PSS).
Part 2: Statistical Tests

- Perform a pre-analysis assumption test for a normal-distribution test to determine if the data you intend to use for the correlation tests passes the assumption of being normally distributed.
. You will use this test for Age and Pre-intervention Psychological Stress Score (PSS).

- Perform the appropriate correlation test to determine the direction and strength or magnitude of the relationship between these two variables from Step 1.
. Remember, we are not concerned about causation at this point and want to determine only if there is a statistical association.

Part 3: Yoga Stress (PSS) Study Paper

- Include the histogram and scatter plot graphics you created earlier for Age and Pre-intervention Psychological Stress Score (PSS).
. Provide an interpretation for these graphics.

- Report the statistical outcome of the correlation analysis using appropriate scholarly style, including a brief interpretation of the effect size of the correlation.
- Interpret the practical, real-world meaning (and limitations of the interpretation) of the relationship of these two variables, based on the correlation analysis you performed.
- Include the SPSS “.sav”output file that shows your programming and results from Parts 1 and 2 for this assignment.
- Provide at least one evidence-based scholarly or peer-reviewed article that supports your interpretation.
Additional Requirements

Length:Your paper will be 2-3 double-spaced pages of content, plus title and reference pages.Font:Times New Roman, 12 points.APA Format:Your title and reference pages must conform to APA format and style guidelines. The body of your paper does not need to conform to APA guidelines.Do make sure that it is clear, persuasive, organized, and well written, without grammatical, punctuation, or spelling errors. You also must cite your sources according to APA guidelines.Please review this assignment’s scoring guide before submitting your assignment to ensure that you meet all criteria. You may also wish to review the performance-level descriptions for each criterion to see how your work will be assessed.

Resources

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