MTH126-BU01-FA21 APPLIED STATISTICS

Endicott College

Beverly, Massachusetts

 

Course Syllabus

 

Course No:                          MTH 126

Course Title:                       Applied Statistics

Credits:                                3

Class Type:                          In-class/Remote: Monday nights 6 PM

Semester and Year:         Fall 2021 (11/01/2021—12/13/2021)

Room:                                   Wax 330

 

Faculty:                                 James Lacey, Ph.D.

Office Location:         Wax 352

Telephone:                 x2583

E-mail:                          jlacey@endicott.edu

Office Hours:      Via Zoom, make a 1:1 Appointment here:  https://bit.ly/3ekXT56

 

Catalog Description

Introduces the student to applied statistical methods used in industry and scientific applications. Emphasis will be on the practical aspects as students use descriptive and inferential statistics to analyze real data in applications of hypothesis testing, ANOVA, and linear regression and correlation.

 

Topical Outline

1. Descriptive statistics, sampling and distributions

• Mean, median, mode, standard deviation
• Normal distribution
• Sampling distributions
• Central Limit Theorem

1. Statistical Inference

• Confidence intervals (mean, proportion)
• Hypothesis testing (mean, proportion)
• Chi-square distribution
• ANOVA

1. Linear Regression and Correlation

• Bivariate data and graphing
• Line of least squares
• Significance and correlation
• Multiple regression and post-hoc testing

 

Learning Outcomes

After completing the course, the student will be able to:

• Demonstrate understanding of the statistical measures and calculations
• Explore the role between probability and statistics
• Gain expertise in using statistical software and interpreting results
• Use data sets to model and analyze problems from the real world
• Enhance their quantitative reasoning skills by applying skills learned in class to new, unfamiliar problems

Textbook –Introductory Statistics, Illowsky & Dean, ISBN-10: 1-947172-05-0, OpenStax, FREE Online at https://openstax.org/details/books/introductory-statistics and also embedded in Canvas.

 

Other Materials - You should have Microsoft Excel installed on your laptop/computer, as it will be required for much of the work.  Alternatively, you may use Google Sheets.  You should also have a regular notebook that you can use to take notes in class; laptop use in class will only be during designated times.  You may also want a simple calculator for computations for HW or exams.

 

Evaluation Methods

• Problem Sets 30%
• Class Participation 30%
• Weekly Quizzes 10%
• Final Exam 30%

 

Problem Sets – Homework assignments from the text. There are due dates for the homework assignments and late work will be penalized. 

 

Class Participation – Because this will be a small class, much of our class time will be conducted as a seminar, not as a lecture.  Active contribution is required.  And learning to use statistics depends on active learning and engagement, and critical thinking, not parroting back answers.  

 

Weekly Quizzes – Based on the homework problem, quizzes will be hosted in Canvas.

 

Final Exams – The final exam will cover the entire course.  You can use your notes, the text, and you will use Excel for at least part of the calculations. 

 

Class Schedule

 

Class	Date	Topic	Chapter(s)
1	11/01/2021	Sampling & Data	1
2	11/08/2021	Descriptive Stats	2
3	11/15/2021	Normal Distribution	6
4	11/22/2021	Central Limit Theorem, Confidence Int.	7, 8
5	11/29/2021	Hypothesis Tests, Chi Square	9, 11
6	12/06/2021	Linear Regression	12
7	12/13/2021	ANOVA, Review	13
	TBD	Final Exam	N/A

 

Course Expectations

We will take a break somewhere in the middle of class to stretch, make phone calls/texts, or get a cup of coffee. This is an accelerated course, basically 15 weeks of material, condensed into a 7-week window, so you want to manage your time accordingly.

 

Since we only have 7 class meetings, plus the final exam, attendance is very important and you must be present for all class meetings.  Canvas will be used extensively in this course.  In case class is cancelled owing to weather, it will be made up online.   

 

ADA Policy

If you as a student qualify as a person with a disability as defined in Chapter 504 of the Rehabilitation Act of 1973, the Americans with Disabilities Act (ADA) of 1990, the Americans with Disabilities Act Amendments Act of 2008 (ADAAA), you are strongly encouraged to register with the Center for Teaching and Learning. The Center for Teaching and Learning is located in the Diane M. Halle Library room 201 and online at http://www.endicott.edu/academicresources.

 

As a student registered with the Center for Teaching and Learning, it is your responsibility to present your accommodation letter to your instructor at the beginning of each semester.

 

Academic Integrity Statement

Students are required to abide by the Academic Integrity Policy of Endicott College.

 

By taking this course, students agree that all required assignments may be subject to submission for "similarity review" to Turnitin.com, a tool intended to not just detect instances of plagiarism, but to prevent it as well. The tool is intended to help students identify passages that are unoriginal, incorrectly cited, or lacking appropriate source information.  Submitted assignments may also be archived in the Turnitin.com database for the purpose of checking for possible future instances of plagiarism, additional similarity searches, and other educational purposes at the discretion of the instructor.  For more information, please review the Privacy and Security guide at Turnitin.com.

 

Course Hourly Expectations

 

Week	In-class & Lab	Reading	Homework and Studying
1	4	3	10
2	4	3	10
3	4	3	10
4	4	3	10
5	4	3	10
6	4	3	10
7	4	3	10
8	4	3	10
Total	32	24	80
Course Total	136

 

College Policies

Students are required to understand and follow all Endicott College policies.

 

This syllabus is subject to change.   Revision Date: 11-08-2021