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STAT 06 — An Introduction to Statistics

Quarter: Fall
Day(s): Mondays
Course Format: Live Online (About Formats)
Duration: 7 weeks
Date(s): Sep 21—Nov 9
Time: 7:00—8:50 pm (PT)
Drop Deadline: Sep 23
Unit: 1
Grade Restriction: No letter grade
Tuition: $405
Instructor(s): Win Reis
Status: Closed
Please Note: This course has a different schedule than what appears in the print catalogue. There will be no class on September 28. The final class session will take place on November 9. Reminder: Some of our refund deadlines have changed. See this course's drop deadline above and click here for the full policy.
Fall
Live Online(About Formats)
Mondays
7:00—8:50 pm (PT)
Date(s)
Sep 21—Nov 9
7 weeks
Drop By
Sep 23
1 Unit
Fees
$405
Grade Restriction
No letter grade
Instructor(s):
Win Reis
Closed
Please Note: This course has a different schedule than what appears in the print catalogue. There will be no class on September 28. The final class session will take place on November 9. Reminder: Some of our refund deadlines have changed. See this course's drop deadline above and click here for the full policy.
Statistics are used everywhere in our professional and personal lives: research, government, business, sports, and media, to name just a few sectors. Why? Because statistics fundamentally allow us to better understand data and draw more intelligent conclusions from information. This course will help students make sense of the data that they encounter. The course is designed for students who are proficient in basic math, including algebra, but would like to build a stronger foundation in statistics and its applications. It will take a practical approach to statistics, focusing on examples rather than theory. For example, coin-flipping, card games, and rolling dice will be used to teach probability. Instruction will be a mix of lecture to introduce concepts, small-group problem-solving, and a walk through real-world examples including polls and surveys, manufacturing processes, on-time performance, vehicle recalls, and aerospace, among others. Through these examples, students will also develop a critical eye to help them identify when statistics are being used inappropriately. Sampling and probability, descriptive statistics, discrete and continuous random variables—with a focus on the normal distribution, the central limit theorem, confidence intervals, hypothesis testing, correlation, and regression—are the specific topics the course will cover.

This course is designed for beginners; no prior knowledge of statistics is needed. Students should have a basic understanding of algebra and of Microsoft Excel or other spreadsheet tools like Google Sheets.

Win Reis, Director, Business Development and Partnerships, Conversica

Win Reis received an MBA from Northwestern. His professional experience includes consulting, financial planning and analysis, business planning, and business development at HP, NetApp, and Vocera.

Textbooks for this course:

(Required) Illowsk, Barbara, Introductory Business Statistics, 1st Edition (ISBN 978-1947172463)
DOWNLOAD THE PRELIMINARY SYLLABUS » (subject to change)