Homework 4 2 mystatlab module four problem set

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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Southern New Hampshire University requires all students to adhere to high standards of integrity in their academic

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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

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