8 week statistics online course 160$

This syllabus was developed for online learning by Bobby L. McMasters, Ed.D., P.E.

STAT 211 Statistics with Aviation Applications

Online Course Syllabus

Credit Hours: 3

Delivery Method: Online (Internet/Canvas)

Required Course Materials

Triola, M. (2018). Elementary statistics using excel and MyStatLab access card (6th ed.). Boston, MA: Pearson.

ISBN 978-0134763781. This ISBN includes a hardcover copy of the textbook and the

MyStatLab access card. MyStatLab and the e-textbook are available for purchase (excluding physical textbook) in your Canvas course; click on “MyLab and Mastering” to explore.

Note: MyStatLab student access is a course requirement Caution: If the MyStatLab fourteen (14) day trial period is selected, do not let the trial time expire before purchasing access.

Triola, M. (2018). Elementary statistics using excel and MyStatLab access card (6th ed.). Boston, MA: Pearson.

ISBN 978-0134763781. This ISBN includes a hardcover copy of the textbook and the MyStatLab access card. MyStatLab and the e-textbook are available for purchase (excluding physical textbook) in your Canvas course; click on “MyLab and Mastering” to explore. Use of MyStatLab, Microsoft Excel, and StatDisk software are course requirements. StatDisk is a full featured statistical analysis package and a free student download.

You are required to have a calculator – handheld or virtual. A basic scientific or business calculator such as the TI-30X II or its many equivalents will be sufficient.

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Suggested Supplemental Materials

American Psychological Association. (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author.

ISBN: 978-1-4338-0561-5

For further information, see the APA website.

Course Description This course is a study of basic descriptive and inferential statistics. Topics include types of data, sampling techniques, measures of central tendency and dispersion, elementary probability, discrete and continuous probability distributions, sampling distributions, hypothesis testing, confidence intervals, and simple linear regression. Prerequisite(s): MATH 111 or MATH 140 or MATH 143 or MATH 241. Course Goals Enable students to select and apply appropriate descriptive and inferential statistical techniques to analyze varying types of data, to defend the rationale for selection of the techniques, and to effectively communicate results of their analyses. Learning Outcomes Upon course completion, students will be able to:

1. Construct, compute, and use appropriate graphical displays and numerical measures to make accurate conclusions about data.

2. Identify various discrete and continuous probability distributions, identify skewness and symmetry in a distribution, and compute appropriate parameters and probabilities associated with probability distributions including sampling distributions.

3. Explain the importance of randomness in sampling, select and apply appropriate sampling techniques.

4. Select and apply appropriate procedures to estimate parameters and test claims about parameters.

5. Given a set of data, choose appropriate software, use the software to analyze the data, and accurately interpret the output.

6. Communicate results of statistical analyses in a clear and concise manner.

7. Be a critical consumer of statistics presented by the media and other sources.

8. Accurately interpret statistics presented, identify ways in which they might be subject to misinterpretation, and apply ethics to the interpretation and presentation of statistics.

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9. Apply concepts addressed in the course to problem solving, including problems related to aviation/aerospace.

All learning outcomes above relate to Embry-Riddle Worldwide Arts and Sciences Program Outcomes 2 and 7 below:  PO 2 - Apply statistical methods in the analysis and interpretation of data for the purpose

of drawing valid conclusions relating to the solutions of problems.

 PO 7 - Use digitally-enabled technology to organize and manipulate data, perform calculations, aid in solving problems, and communicate solutions, ideas, and concepts.

Grading These are the major assignments in the course and will be the basis for evaluation according to the grading scale shown in the table below. Below are the course assignment categories. These categories will be the basis for student evaluation according to the grading scale shown in the table:

Course Grade Scale Evaluation Items & Weights

90 – 100% A Discussions 15%

80 – 89% B Assignments 15%

70 – 79% C MyStatLab Homework 10%

60 – 69% D MyStatLab Quizzes 20%

0 – 59% F Cumulative Midterm Exam 20% 40%

Cumulative Final Exam 20%

Total 100%

Graded activities in this course earn scores from zero to 100. The Canvas Grade Center then calculates and weights scores. This means that while you earn the same score for all graded activities in the course, the weights are different. Your final grade is based on the weighted score.

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Discussions Discussion activities require you to participate, calculate, interpret, and report on a variety of topics. For each of the discussion activities, you should make your initial post to the discussion forum early in the module week, then return later in the same module week and respond to the posts of at least two classmates. Discussion posts must be meaningful. Posts like, “I agree,” or “Good post!” will not count for credit. Your instructor will use the Discussion Grading Rubric that is in each discussion. The discussion activities are worth 15% of your final grade. Your active participation in the discussion activity is mandatory. You are expected to comment on several of the initial discussion threads. Assignments Assignment activities require you to analyze data initially created in a discussion, draw a conclusion, and then report the information in a Memorandum of Understanding document. You are expected to follow a specific format for the memo and use superior writing skills to concisely report information. The assignment activities are worth 15% of your final grade. MyStatLab Homework MyStatLab Homework assignments allow you to practice learned concepts to gain proficiency. You have three (3) attempts to accomplish each homework assignment. MyStatLab is a virtual mathematics lab. Help is available within MyStatLab for each problem in the assignment. Homework is where course material is learned. Quizzes and tests are where learning is demonstrated. Assignments are due by the end of the module in which they are assigned. If your assignment is late, there is a 10% penalty applied every day after the due date. The penalty is only applied to questions you have not answered. The MyStatLab Homework assignments are worth 10% of your final grade. MyStatLab Quizzes Often, students rely too much on the “helps” that are available in the MyStatLab homework assignments and do not learn how to correctly answer problems when those “helps” are not available. MyStatLab Quizzes give you an opportunity to determine whether you have really learned the material. Each quiz has a maximum of ten (10) questions, and you have 90 minutes to complete in one (1) attempt. You may take each quiz twice. “Helps” available in the MyStatLab homework assignments will not be available in the quizzes. Quizzes are due by the end of the module in which they are assigned. If your quiz is late, there is a 10% penalty applied every day after the due date. The penalty is only applied to questions you have not answered. MyStatLab Quizzes are worth 20% of your final grade.

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Cumulative Midterm Exam You will take the course Cumulative Midterm exam in Module 5 using MyStatLab. It will cover all material covered from Module 1 thru Module 4. You have one (1) attempt to take the Cumulative Midterm exam and have two hours (120 minutes) to accomplish. The Cumulative Midterm exam is worth 20% of your final grade. Cumulative Final Exam You will take the course Cumulative Final exam in Module 9 using MyStatLab. It will cover all material covered from Module 1 thru Module 8. You have one (1) attempt to take the exam and have two hours (120 minutes) to accomplish. The Cumulative Final exam is worth 20% of your final grade. Additional Information You are reminded to keep electronic copies of all materials submitted as assignments, discussion posts, and emails; until after the end of the term and a final grade is posted. When posting responses in a discussion area, please confirm that the responses have been posted after you submit them. Library Embry-Riddle Aeronautical University has one of the most complete library collections of aviation-related resources in the world.

 Hunt Library Worldwide: Information, Services, Help

o Library Basic Training o Ask-a-Librarian

Contact Information

 Hours: Mon-Thu. 8a.m.-10p.m., Fri. 8a.m.-6p.m., Sat 12p.m.-6p.m., Sun 2p.m.-10p.m. EST

 Telephone: 1-800-678-9428 or 386-226-7656  Email: [email protected]

Course Policies Academic Integrity Embry-Riddle is committed to maintaining and upholding intellectual integrity. All students, faculty, and staff have obligations to prevent violations of academic integrity and take corrective action when they occur. The adjudication process will involve imposing sanctions which may include, but are not limited to, a failing grade on the assignment, a failing grade in a course, suspension or dismissal from the University, upon students who commit the following academic violations:

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1. Plagiarism: Presenting the ideas, words, or products of another as one’s own. Plagiarism includes use of any source to complete academic assignments without proper acknowledgement of the source. Reuse or resubmission of a student’s own coursework if previously used or submitted in another course, is considered self-plagiarism, and is also not allowed under University policy.

2. Cheating: A broad term that includes, but is not limited to, the following:

a. Giving or receiving help from unauthorized persons or materials during examinations. b. The unauthorized communication of examination questions prior to, during, or

following administration of the examination. c. Collaboration on examinations or assignments expected to be, or presented as,

individual work. d. Fraud and deceit, that include knowingly furnishing false or misleading information or

failing to furnish appropriate information when requested, such as when applying for admission to the University.

Note: The Instructor reserves the right to use any form of digital method for checking

plagiarism. Several electronic systems are available and other methods may be used at the Instructor’s discretion. Online Learning This course is offered through Embry-Riddle Online (Canvas) and runs nine (9) weeks. The first week begins the first day of the term and ends at midnight EDT/EST (as applicable) seven days later. Please note that all assignments, unless otherwise indicated, are due by 11:59 EDT/EST on the date shown. Success in this course requires in-depth study of each module as assigned, timely completion of assignments, and regular participation in forum discussions. Late work should be the exception and not the rule and may be downgraded at the discretion of the Instructor, if accepted at all. Unless all work is submitted, the student could receive a failing grade for the course. Extensions may be granted for extenuating circumstances at the discretion of the Instructor and only for the length of time the Instructor deems appropriate. The most important element of success in an online course is to communicate with your Instructor throughout the term. Conventions of “online etiquette,” which include courtesy to all users, will be observed. Students should use the Send Message function in Canvas for private messages to the Instructor and other students. The class discussion forums are for public messages.

It is highly recommended that students keep electronic copies of all materials submitted as assignments, discussion board posts and emails, until after the end of the term and a final grade is received. When posting responses in a discussion forum, please confirm that the responses have actually been posted after you submit them.

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Course Schedule

Modules Titles / Topics Activities

1 Introduction to Statistics

Module 1 – MyStatLab: Registration and Orientation Module 1 – Discussion: Introduce Yourself Module 1 – Resource & Reading Module 1 – Knowledge Quick Check Module 1 – Assignment: Microsoft Excel: Install Add-ins Module 1 – Assignment: StatDisk Download Module 1 – Assignment: MyStatLab Homework

Chapter 1 Module 1 – MyStatLab Quiz: Chapter 1

2 Describing, Exploring, and Comparing Data

with Tables and Graphs

Module 2 – Readings Module 2 – Knowledge Quick Check Module 2 – Assignment: MyStatLab Homework Chapter

2 and 3 Module 2 – Discussion: Airshow Day 1: Mean and

Standard Deviation Module 2 – Assignment: Airshow Day 1: Performance

Winner (PLG1)

3 Introduction to Probability and

Probability Distributions

Module 3 – Readings Module 3 – Knowledge Quick Check Module 3 – Assignment: MyStatLab Homework

Chapters 4.1, 4.2, 5.1, and 5.2 Module 3 – Discussion Airshow Champion (PLG1)

4 Normal Probability

Distributions

Module 4 – Reading Module 4 – Knowledge Quick Check Module 4 – Assignment: MyStatLab Homework Chapter

6.1 – 6.5 Module 4 – MyStatLab Quiz: Chapter 6 Module 4 - Assignment: Flying Squadron Costs Report

(PLG1)

5

Comprehensive Review (Modules 1 – 4) and

Comprehensive Midterm Exam

Module 5 – Assignment: MyStatLab Review Homework: Chapters 1 – 6.5

Module 5 – MyStatLab Review Quiz #1: Chapters 1 – 3 Module 5 – MyStatLab Review Quiz #2: Chapters 4 –

6.5 Module 5 – MyStatLab Comprehensive Midterm Exam:

Chapters 1 – 6.5

6 Estimating Parameters

and Determining Sample Sizes

Module 6 – Readings Module 6 – Knowledge Quick Check Module 6 – Assignment: MyStatLab Homework Chapter

7.1 – 7.3 Module 6 – MyStatLab Quiz: Chapter 7.1 – 7.3 Module 6 – Discussion: Confidence Intervals

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7 Hypothesis Testing and

Inferences from Two Samples

Module 7 – Reading Module 7 – Knowledge Quick Check Module 7 – Assignment: MyStatLab Homework Chapter

8.1 – 8.3 and 9.1 – 9.3 Module 7 – MyStatLab Quiz: Chapter 8.1 – 8.3 and 9.1 –

9.3

8 Correlation and

Regression

Module 8 – Readings Module 8 – Knowledge Quick Check Module 8 – Assignment: MyStatLab Homework Chapter

10.1 – 10.3 Module 8 – MyStatLab Quiz: Chapter 10.1 – 10.3 Module 8 – Discussion: Correlation and Regression

9

Comprehensive Review (Modules 1 – 8) and Comprehensive Final

Exam

Module 9 – Assignment: MyStatLab Review Homework: Chapters 1 – 10.3

Module 9 – MyStatLab Review Quiz: Chapters 1 – 10.3 Module 9 – MyStatLab Comprehensive Final Exam:

Chapters 1 – 10.3