Descriptive Statistics and Data Validation
Assignment Overview
Imagine a scenario in which you are applying to become part of the center for research in your organization. Part of the application process is a series of tests that assess your ability to interpret various statistical analyses. A process that is done as a matter of habit by all statisticians is known as data validation. The research center wants to see you demonstrate data validation in writing.
The first test you are given contains descriptive analyses that you are instructed to read and interpret. You are given an example of the type of information you will be looking for, and then you are given the SPSS output data to interpret.
Preparation for the Assignment
The following files, listed in Resources, are needed to complete this assignment:
Data Description [DOC].
Unit 3 SPSS Output [PDF].
Data Validation Template [DOC].
You may also want to take a look at the Data Validation Example document to better understand how your assignment should look. Note: This document is ONLY an exemplar. Your answers will be different.
Instructions for the Assignment
Complete the Data Validation Template, listed in Resources, by filling in the information listed below. Note: You will need to perform a small number of calculations with the data presented in order to complete this assignment.
The information needed for your Data Validation is contained in the Data Description [DOC] document.
The data you will validate is contained in the Unit 3 SPSS Output [PDF] document.
All of the following information must be entered into the Data Validation Template:
Minimum value.
Maximum value.
First quartile.
Second quartile.
Third quartile.
Interquartile range (interval).
Outlier lower bound (calculation needed).
Outlier upper bound (calculation needed).
Mean.
Median.
Variance.
Standard deviation.
Skewness.
Kurtosis.
Standard error of the mean.
95% confidence interval (CI) for the mean.
Based on the output, evaluate each of the variables for level of data and the appropriate descriptive statistics. Identify any potential problems with data such as outliers.
Summary
Write a summary of your data validation analysis for each variable. Your summary should answer the following questions:
Based on this information, what can you conclude about the data set?
Do the histogram or box plot show any potential problems with the data?
Refer to the Data Validation Example document to understand how a summary of an SPSS Interpretation should be constructed.
Additional Requirements
Your executive summary must also meet the following requirements:
Page count: 2–4 double-spaced pages, not including cover or reference page.
Font and font size: Times New Roman, 12 point.
APA formatting: Resources and citations are formatted according to current APA style and format.
Number of references: Cite at least one peer-reviewed resource.
separate page
Diabetic Costs
Preparation for Discussion
You must complete the SPSS exercise in this unit in order to complete this discussion.
Using your analysis of the diabetic costs:
What is the probability of having a patient with a glycated hemoglobin greater than 9.18?
Based on your calculation of the 95% confidence interval (CI) of the mean for household income:
What does this probability tell you about your patients?
What does the 95% CI tell out about the mean household income?
Response Guidelines
Please respond to posts that have had few responses thus far. Address all of the following:
Engage your peers. Tell them specifically why you chose to respond to their posts.
Seek clarification. Talk about what is unclear. Ask questions. Offer suggestions.
Add perspective. Include personal examples or work experiences to add perspective to your reply.
Be a practitioner/scholar. In addition to your personal or work experience, include at least one academic reference in your reply, citing it by using current APA style and format. Refer to the APA Module for tips.
Refer to the Faculty Expectations for Response Guidelines.
Learning Components
This activity will help you achieve the following learning components:
Practice scholarly writing skills.
Practice summarizing statistical analyses.
Last Completed Projects
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