Purpose

The purpose of this assignment is to apply knowledge of data analysis and interpretation by developing graphs in SPSS using provided datasets.

Course Outcomes

This assignment provides documentation of student ability to meet the following course outcomes:

• CO4: Interpret the output from statistical computing packages to draw appropriate inferences and report results effectively.
• CO8: Apply knowledge of data sets free from bias in developing studies to improve public health outcomes by identifying potential trends in relation to epidemiology.

Due Date

Submit your completed assignment by Sunday, 11:59 p.m. MT, of Week 5 as directed.

Requirements

1. This assignment will be graded on quality of self-assessment, use of citations, use of Standard English grammar, sentence structure, and overall organization based on the required components as summarized in the directions and grading criteria/rubric.
2. Create your product using Microsoft Word, which is the required format for all Chamberlain College of Health Professions documents.
3. Follow the directions and grading criteria closely. Any questions about this paper may be posted in the Q&A Forum.
4. The length of this assignment is to be no less than 3 and no greater than 6 pages, excluding title and reference pages.
5. APA format is required with both a title page and reference page (no abstract is required). Use the required components of the review as Level 1 headers (upper and lower case, centered)
   • Note: Introduction – Write an introduction but do not use “Introduction” as a heading in accordance with the rules put forth in the Publication Manual of the American Psychological Association.

Preparing the Assignment

This week we will examine the best ways to demonstrate data using graphs and tables.  Using the data set from last week (Links to an external site.), develop a histogram and a box plot for the continuous variable of age providing a narrative for methods used and your results. Also, describe which would be best to show the age. For the scatter plot, plot the respondent and spouse age. Describe the variables that are graphed and why they were chosen as well as any outliers or trends. Finally, report results and your interpretation of the data.