# Introduction to Probability & Statistics

## Introduction to Probability and Statistics - Online

Instructor: Dr. Mohammad Khasawneh
Upcoming offerings: 6/8 - 7/5 and 7/13 - 8/9
Delivery: Self-paced online, 6 hours of pre-recorded lectures with self-assessment quizzes (not graded) and a multiple choice final exam (graded)
Credentials: A Probability and Statistics Foundations Badge be issued to students who pass the exam and participants will be able to download and print a Binghamton University issued certificate of course completion.
Who can take this course: This course is intended for all engineers, professionals, faculty and students.

### ABOUT THE COURSE

This course teaches the foundational concepts of data analytics that is the fundamentals of probability and statistics. Data science is a growing field of study and practice as data is quickly becoming the world most abundant and untapped resource. Social, mobile and the proliferation of interconnectivity via the internet has led to vast amounts of data; however, we all require the ability to transform these raw data into meaningful information to help make better and faster decisions. Introduction to Probability and Statistics provides the class participant with the means to convert several forms of data into usable information.

### COURSE OUTLINE

The course will be delivered via 6 hours of pre-recorded lectures. Students will receive support via virtual office hours and email with the instructor and teaching assistant. A take-home exam will be distributed and graded and a course certificate and a digital badge will be issued to passing students (a grade of 70% or above)

Session 1 - Course Introduction, Course Outline, Fundamental of Problem Solving, Introduction to Statistics, Sampling Process, Introduction to Minitab
Session 2 - Basic Statistics: Measures of Location, Measures of Variability, Data Visualization, Coefficient of Variation, Dot Plot, Histogram, Stem And Leaf, Box Plot
Session 3 - Basic Statistics: Random Distribution, Variables Types, T test, Z test, Statistical Tables, Confidence Intervals for Mean, Confidence Interval for Proportions, Confidence Interval for Standard Deviation
Session 4 - Advanced Statistics: Compare Means, Compare Variances, Compare Proportions, Rejection Region, Fail to Reject, Type 1 error and Type 2 error, Power and Sample Size, P-value

### THE INSTRUCTOR

Dr. Mohammad T. Khasawneh

• Professor and Chair in Systems Science & Industrial Engineering Department
• Associate Director, Watson Institute for Systems Excellence
• Director, Healthcare Systems Engineering Center
• Director, Human Factors and Ergonomics Laboratory
• Graduate Program Director, Executive Master of Science in Health Systems
• SUNY Chancellor's Award for Excellence in Teaching
• PhD, Industrial Engineering, Clemson University

Teaching Assistant - TBD

### COURSE FEES

\$250: Standard Rate (Industry)
\$195: BU and SUNY Faculty/Staff and BU Alumni (graduated before Dec. 2019)/Non-SUNY students
\$100: BU and SUNY Students and recent BU Alumni (graduated Dec. 2019 or after)/High School students

NOTE: If you have registered for this course you will get a \$50 rebate on the Advanced Probability & Statistics course. Please email wtsnindy@binghamton.edu for Promo Code.

\$35: Retake Fee Students (Proof of previous course registration is required)
\$50: Retake Fee Non-Students (Proof of previous course registration is required)

### CANCELLATIONS AND REFUNDS

1. All cancellations must be received in writing by 9 a.m. of the course date to receive a refund.
2. Cancellations of confirmed registrations are subject to a \$20 administrative fee. No refunds for cancellations or non-attendance will be given after the course date.
3. Substitutions may be made any time before the beginning of the course by informing the Office of Industrial Outreach.
4. If the course is canceled, enrollees will be advised and receive a full refund.