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Course Details


Course Details

Course Code: MATH239 Course ID: 4540 Credit Hours: 3 Level: Undergraduate

This applied course introduces students to a variety of techniques for organizing, analyzing and presenting large data sets. Topics to be covered include descriptive statistics with graphics and sample estimation. Emphasis is placed on real-world applications such as those found in the social and physical sciences. Students will become familiar with statistical software packages. (Prerequisite: MATH220)

Course Schedule

Registration Dates Course Dates Start Month Session Weeks
08/31/2021 - 02/04/2022 02/07/2022 - 04/03/2022 February Winter 2022 Session I 8 Week session
11/30/2021 - 04/29/2022 05/02/2022 - 06/26/2022 May Spring 2022 Session I 8 Week session

Current Syllabi

After successfully completing this course, you will be able to

CO-1. Identify different types of data
CO-2. Organize data sets

CO-3. Produce descriptive statistics with graphics
CO-4. Summarize data numerically
CO-5. Use sample estimation to make inferences about a population

CO-6. Apply statistical analysis to real-world problems

CO-7. Communicate and defend results using a statistical software

Reading Assignments:
Please refer to the Course Outline section of this syllabus for the weekly reading assignments. While reading assignments are not graded, it is very important that you read the assigned material and work practice problems as necessary.

Forum Assignments:
The forums are designed for students to provide information and ask questions on course content for the week. Your forum posts must meet the minimum requirement for the number of posts and the content for that assignment. These forums should not be used to discuss specific exam questions, but can be used to ask questions relative to practice exercises, practice tests, and textbook problems.

Posts should be made as indicated in the forum instructions. Be sure to click on the link “Read Full Description” so that you will be familiar with each forum requirement and the grading rubric. (A significant post generally contains at least 100 words— single sentence responses such as “Now I understand” or “Thank you for your help” do not constitute significant posts.)

Grading for each forum will follow the point structure outlined in the description for each forum. The initial post is due by Wednesday at 11:55 ET. The peer post is due by Sunday at 11:55 ET.

Introductory Forum: It is very important that you submit and participate in the Introduction Forum. Please introduce yourself to me and the class. Share where you work or plan to work after completing your program, your family, and any hobbies or special interests. Also tell us why you are taking this course and what you hope to gain from obtaining your degree. In addition, please take a look at the course objectives in the syllabus and discuss the relevance to your career goals.

Instructions for introductory forum post: Your initial post should be at least 250 words. Please respond to at least 1 other student. Responses should be a minimum of 100 words. This forum submission serves as your official entry into the course and this is why we have drawn special attention to this assignment. You will be reminded of this Forum again in the Week 1 Lesson Module, but please keep in mind that this Introduction Forum must be submitted by 11:55 p.m., ET, on Sunday of Week 1 to maintain your registration in the course.

Unit Tests:
Three numbered unit tests are found via the navigation link labeled "Tests & Quizzes.” Please complete each test by the due date noted in the syllabus and in the classroom. These are open-book and open-note tests, but are not collaborative efforts. They are timed, so be sure that you have the appropriate time available before you enter each test. These are single-access tests. Once you have accessed the test, it cannot be made up.

Course Project:
The course project allows you to utilize the skills that you have learned in the course to develop and present an analysis of a large data set. You will have the option of choosing your own data or sample data with between 200 - 250 data points. You will be required to include specific analyses in your report and present the results to your colleagues. There will be a focus on using technology throughout the project. Examples of tools for presentation include a narrated PowerPoint, Prezi, linking a video through YouTube, etc. Please note the file size limitations in Sakai and plan accordingly.

Specific details of the course project:

You may choose data from any source. Choose an area that interests you. If you need ideas for finding data, do a Google search for "free data". Find a set of data that includes 200-250 data points and two categorical variables. From this data you are going to perform a series of statistical computations and present the findings to your peers by means of a technology presentation tool. The presentation will be recorded, and you will orally present your findings to the class. Your presentation will be uploaded to the forum so that your peers can review it. In addition, you will include a formal write-up of the findings that will be submitted in the class assignments folder. You will have the opportunity to be creative in how you present the findings from your data set, and we will be discussing online tools and tips/strategies for presenting data throughout the class. This course project is the culmination of the content that we cover during the course. The course project presentation accounts for 15.5% of the final course grade, and a rubric will be used to score your work (see Assignments in the classroom). This course project will mirror the practice work that you will be completing in the forums each week, so it is a good idea to find your course project data set early on and complete the required components as we practice them each week.

In your presentation, you will be required to show the following:

  • Describe the nature of the data. What do the data represent? Why did you choose this data set? How many data points are included?

  • Describe the types of variables, the type of sample, possible lurking

variables, and any association or causation.

  • Create a histogram, describe the shape of the distribution, and find the mean and median.

  • Compute the standard deviation, the five number summary, and the range

and interquartile range. Provide a visual representation of this information.

  • Find possible outliers (there may be none, but you will need to show how you determined that), draw a boxplot, create a scatterplot, and compute the sample correlation r.

  • If you found a moderate to strong linear relation between the variables, compute the regression equation and describe how you could use a

regression line to make predictions.

  • Conclude with a summary of the major findings. How have these findings informed the topic, and what are the implications of the findings?

In the presentation you do not need to show each step of the computations for every statistic. You will, however, be required to show the work in the write-up. Estimated length of the presentation is 5-7 minutes.

The write-up:

In addition to presenting the findings from your data set, you will submit a formal write-up of the results. This will be submitted to the Assignments Folder in the classroom. The write-up should include detailed calculations for each statistic. It should also include all of the summary charts/tables that were presented. The write-up consists of 15.5% of the final course grade. Please find the scoring rubric in the Assignments area of the classroom.

The write-up should follow a standard narrative format, including a title page, introduction, body, conclusion, and references where appropriate. You will use APA formatting as you write. Keep in mind that in statistics we are often tasked with presenting complex analyses in a straightforward and simplified manner. We know that visual representations of data are vital to this effort. In addition, we are often required to present our findings in written form. Here you will want to explain the findings in detail, focusing on the big picture of what the findings mean and why they are important. Estimated page length for the body of the write-up is 3-5 pages. Grades for the project will be posted within 7 days of the due date.

NameGrade %
Forums 24.00 %
Week 1 Forum 3.00 %
Week 2 Forum 3.00 %
Week 3 Forum 3.00 %
Week 4 Forum 3.00 %
Week 5 Forum 3.00 %
Week 6 Forum 3.00 %
Week 7 Forum 3.00 %
Week 8 Forum 3.00 %
Course Project Presentation 15.50 %
Course Project Presentation 15.50 %
Unit Tests 45.00 %
Unit Test #3 15.00 %
Unit Test #2 15.00 %
Unit Test #1 15.00 %
Course Project Write-up 15.50 %
Course Project Write-up 15.50 %
Assignments 0.00 %
APUS Honor Code and Pledge 0.00 %

After successfully completing this course, you will be able to

CO-1. Identify different types of data
CO-2. Organize data sets

CO-3. Produce descriptive statistics with graphics
CO-4. Summarize data numerically
CO-5. Use sample estimation to make inferences about a population

CO-6. Apply statistical analysis to real-world problems

CO-7. Communicate and defend results using a statistical software

Book Title:Statistics: Unlocking the Power or Data (custom) - the VitalSource e-book is provided inside the classroom
Publication Info:VS-Wiley
Unit Cost:$39.53
Electronic ISBN:9781119919292
Electronic Unit Cost:$30.00

Previous Syllabi

Not current for future courses.