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Undergraduate Course Syllabus


MAT 240: Applied Statistics


Center: Online


Course Prerequisites


None


Course Description


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.


Course Outcomes


 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


Required Materials


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


Pearson Custom


ISBN: 978-1-323-82158-9


Optional Materials


Statistics: Informed Decisions Using Data (physical textbook)


Michael Sullivan III


Pearson


http://bookstore.mbsdirect.net/snhu.htm

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2nd Edition


2013


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.


Grade Distribution


Assignment Category Number of


Graded Items


Point Value


per Item Total Points


MyStatLab Problem Sets


Discussions


MyStatLab Final Examination


8


8


1


65


25


280


520


200


280


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


I Incomplete


IF Incomplete/Failure *


IP In Progress (past end


of term)


W Withdrawn


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* Please refer to the policy page for information on the incomplete grade process.


Grading Guides


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.


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


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Attendance Policy


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.


Contact Information:


Online Accessibility Center


Phone: 866-305-9430


Email: oac@snhu.edu


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


Services webpage.


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


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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


honesty policy.


Copyright Policy


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 assessmentcalibration@snhu.edu.


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