Undergraduate Course Syllabus
MAT 240: Applied Statistics
This is a fundamental course in the application of statistics. In this course, students will learn to apply statistical
techniques to a variety of applications in business and the social sciences. Students will learn how to solve
statistical problems by hand and through the use of computer software. Topics include probability distribution
functions, sampling distributions, estimation, hypothesis testing, and linear regression.
Recognize and solve problems involving discrete and continuous probability distributions
Apply the central limit theorem and recognize its importance in sampling
Calculate and interpret confidence intervals
Construct and interpret a variety of hypothesis tests
Calculate and interpret a simple linear regression equation and the associated correlation coefficient
Interpret a multiple linear regression equation and the associate correlation coefficient
Solve statistical problems using statistical software
Using your learning resources is critical to your success in this course. Please purchase directly through SNHU’s
online bookstore, MBS Direct, rather than any other vendor. Purchasing directly from the bookstore ensures that
you will obtain the correct materials and that the Help Desk, your advisor, and the instructor can provide you with
support if you have problems.
Access code for MyStatLab, which includes the following eBook:
MAT-240: My StatLab with eText
Statistics: Informed Decisions Using Data (physical textbook)
Michael Sullivan III
Instructor Availability and Response Time
Your class interaction with the instructor and your classmates will take place on a regular, ongoing basis. Your
instructor will be actively engaged within the course throughout the week. You will normally communicate with
your instructor in the weekly discussions or the General Questions discussion topic so that your questions and the
instructor’s answers benefit the entire class. You should feel free, however, to communicate with your instructor
via SNHU email at any time, particularly when you want to discuss something of a personal or sensitive nature.
Your instructor will generally provide a response within 24 hours.
Assignment Category Number of
per Item Total Points
MyStatLab Problem Sets
MyStatLab Final Examination
Total Course Points: 1,000
This course may also contain practice activities. The purpose of these non-graded activities is to assist you in
mastering the learning outcomes in the graded activity items listed above.
University Grading System: Undergraduate
Grade Numerical Equivalent Points
A 93–100 4
A˗ 90–92 3.67
B+ 87–89 3.33
B 83–86 3
B˗ 80–82 2.67
C+ 77–79 2.33
C 73–76 2
C˗ 70–72 1.67
D+ 67–69 1.33
D 60–66 1
F 0–59 0
IF Incomplete/Failure *
IP In Progress (past end
* Please refer to the policy page for information on the incomplete grade process.
Specific activity directions, grading guides, posting requirements, and additional deadlines can be found in the
Assignment Guidelines and Rubrics section of the course.
Weekly Assignment Schedule
All reading and assignment information can be found within each module of the course. Assignments and
discussion posts during the first week of each term are due by 11:59 p.m. Eastern Time. Assignments and
discussion posts for the remainder of the term are due by 11:59 p.m. of the student’s local time zone.
In addition to the textbook readings that are listed, there may be additional required resources within each
Module Topics and Assignments
1 Descriptive Statistics and Decision-Making Tools
Statistics: Informed Decisions Using Data, Sections 2.1, 2.2, 2.3, 3.1, 3.2, 6.1
1-1 Discussion: Applications of Probability
1-2 MyStatLab and StatCrunch Orientation Activity
1-3 MyStatLab: Module One Problem Set
2 Application of Normal Probability Distributions in Making Predictions
Statistics: Informed Decisions Using Data, Sections 7.1, 7.2, 8.1, 8.2
2-1 Discussion: Applications of the Normal Distribution
2-2 MyStatLab: Module Two Problem Set
3 Beyond a Best Guess: Adding Precision With Confidence Intervals
Statistics: Informed Decisions Using Data, Sections 9.1, 9.2
3-1 Discussion: Applications of Confidence Intervals
3-2 MyStatLab: Module Three Problem Set
4 Testing a Hypothesis or Claim About a Single Population Parameter
Statistics: Informed Decisions Using Data, Sections 10.1, 10.2, 10.3
4-1 Discussion: Applications of Hypothesis Tests
4-2 MyStatLab: Module Four Problem Set
5 Testing a Hypothesis or Claim: Comparing Two Populations
Statistics: Informed Decisions Using Data, Sections 11.1, 11.2, 11.3
5-1 Discussion: Applications of Two-Sample Tests
5-2 MyStatLab: Module Five Problem Set
6 Correlation and Least Squares Regression
Statistics: Informed Decisions Using Data, Sections 4.1, 4.2, 4.3
6-1 Discussion: Applications of Correlation
6-2 MyStatLab: Module Six Problem Set
7 Hypothesis Tests in Linear Regression and Multiple Linear Regression
Statistics: Informed Decisions Using Data, Sections 14.1, 14.3
7-1 Discussion: Applications of Linear Regression
7-2 MyStatLab: Module Seven Problem Set
Online students are required to submit a graded assignment/discussion during the first week of class. If a student
does not submit a posting to the graded assignment/discussion during the first week of class, the student is
automatically withdrawn from the course for non-participation. Review the full attendance policy.
Late Assignments Policy
Meeting assigned due dates is critical for demonstrating progress and ensuring appropriate time for instructor
feedback on assignments. Students are expected to submit their assignments on or before the due date. Review
the full late assignment policy.
SNHU College of Online and Continuing Education Student Handbook
Review the student handbook.
ADA/504 Compliance Statement
Southern New Hampshire University is dedicated to providing equal access to individuals with disabilities, including
intellectual disabilities, in accordance with Section 504 of the Rehabilitation Act of 1973, Title III of the Americans
with Disabilities Act (ADA) of 1990, and the ADA Amendments Act of 2008. The university prohibits unlawful
discrimination on the basis of disability and takes action to prevent such discrimination by providing reasonable
accommodations to eligible individuals with disabilities.
As soon as you become aware of a disability, we encourage you to contact the Online Accessibility Center (OAC) to
discuss accommodations for which you may be qualified. Reasonable accommodations are established through an
interactive process between the student and the OAC. Note that accommodations are not retroactive and that
disability accommodations are not provided until an accommodation letter has been processed.
For questions concerning support services, documentation guidelines, or general disability issues, visit the Online
Accessibility Center website.
If you feel you have been denied appropriate disability-related accommodations, including appropriate auxiliary
aids and services, you may file a grievance as described in the ADA/504 Grievance Policy found on the Disability
8 Testing a Hypothesis for Multiple Populations
Statistics: Informed Decisions Using Data, Sections 12.1, 13.1
8-1 Discussion: Applications of ANOVA
8-2 MyStatLab: Module Eight Problem Set
8-3 MyStatLab: Final Examination
Academic Honesty Policy
Southern New Hampshire University requires all students to adhere to high standards of integrity in their academic
work. Activities such as plagiarism and cheating are not condoned by the university. Review the full academic
Southern New Hampshire University abides by the provisions of United States Copyright Act (Title 17 of the United
States Code). Any person who infringes the copyright law is liable. Review the full copyright policy.
SNHU College of Online and Continuing Education Withdrawal Policy
Review the full withdrawal policy.
Southern New Hampshire University Policies
More information about SNHU policies can be found on the policy page.
Student Work Samples
For the purpose of continuous improvement of our educational training, Southern New Hampshire University’s
College of Online and Continuing Education may, on occasion, utilize anonymous student work samples for internal
professional development and staff training. If you have any questions or concerns, contact your advisor. If you
would like to withdraw permission for use of your work, please email firstname.lastname@example.org.
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