Professional Statistics – MATH 202

CG • Section 8WK • 11/08/2019 to 04/16/2020 • Modified 04/08/2022

Course Description

This course provides a foundation in elementary statistics that facilitates data interpretation and statistical analysis.

For information regarding prerequisites for this course, please refer to the Academic Course Catalog.


As members of a field increasingly devoted to the use of data and studies to guide practice, students must learn to correctly interpret statistical presentations to understand when various statistical tools can be appropriately employed, and have a broad grasp of statistical terminology and techniques. This course emphasizes the major applications of statistical knowledge rather than its theory. The course seeks to educate men and women who will make important contributions to their workplaces and communities, follow their chosen vocations as callings to glorify God, and fulfill the Great Commission.


Measurable Learning Outcomes

Upon successful completion of this course, the student will be able to:

  1. Construct and interpret appropriate graphical representations of data.
  2. Compute statistical measures which describe the location, dispersion, and placement of data values.
  3. Identify probability distributions and unusual events.
  4. Construct and interpret hypothesis tests.
  5. Determine the correlation between two variables and develop linear regression models which predict the value of one variable as a function of the other.
  6. Distinguish between the contexts of various statistical tests and identify appropriate methodology for a variety of applications


Foundational Skills Learning Outcomes: Technological Solutions and Quantitative Reasoning: the ability to apply technology and mathematics to analyze information, establish plans, and predict outcomes in various contexts.

  1. TSQR 1: Analyze data and inform action through a structured method.
  2. TSQR 2: Predict the output based on an input in practical scenarios using technological solutions and/or quantitative reasoning.
  3. TSQR 4: Relate technology and quantitative reasoning to participation in God’s redemptive work

Course Assignment

Textbook readings and lecture presentations

Course Requirements Checklist

After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in Module/Week 1.

Discussions (2)

Discussions are collaborative learning experiences. Therefore, the student is required to provide a thread that will apply statistics to real-life situations and demonstrate links between statistics and participation in God’s redemptive work in the world. Two of the projects will be completed in Discussion Forums 1 and 2 (MLO: C, E; FSLO: TSQR 1, 2, 4).

Quiz: Homework (8)

Each module/week, the student will complete a set of exercises which will correlate with the assigned Reading & Study material. These exercises will be completed using Blackboard. Students are required to earn at least a 50% on each exercise to move ahead in the course. (MLO: A, B, C, D, E, F; FSLO: TSQR 1, 2)

Project Assignments (2)

The student will complete two individual projects that will apply statistics to real-life situations and further explore some of the ideas introduced in the textbook. (MLO: B, D; FSLO: TSQR 1, 2, 4).

Quizzes (4)

The student will complete 4 exams throughout the course. Each exam will be timed, open-book/open-notes, and will cover 2 modules/weeks of material. The exams will be taken in Blackboard.  Unlike the homework assignments, students will only have one attempt on each test. (MLO: A, B, C, D, E, F; FSLO: TSQR 1, 2).