Prerequisite: You must have B or higher in MATH 2401, MATH 2411, or MATH 2605 or MATH 2551 or MATH 2561 to enroll.
Office hours: M10-12, W1-2, or by appointment
Required Texts:
Final grades will be calculated as follows: A:90-100, B:80-89, C:70-79, D:60-69, F: <60
Tutoring: M 5-6, Tu 3-4, Thu 2-4 in the math lab in Clough 28
Official Syllabus
Office hours: M10-12, W1-2, or by appointment
Required Texts:
- All of Statistics: A Concise Course in Statistical Inference, Larry Wasserman (12/01/2010).
- How to Lie with Statistics, Huff
Final grades will be calculated as follows: A:90-100, B:80-89, C:70-79, D:60-69, F: <60
Tutoring: M 5-6, Tu 3-4, Thu 2-4 in the math lab in Clough 28
Official Syllabus
This one-semester course provides an introduction to probability and statistics. Data is everywhere. If you want to navigate the world intelligently, you need to understand statistics. The course text came about as answer to the question posed to the textbook author by computer science colleagues (at CMU) about where their students could turn for a quick understanding of modern statistics. I would still use this text even if the entire class were composed of math majors.
Probability and statistics can be viewed as inverse fields. Probability is the mathematical language of randomness with tools which enables you to make predictive statements about outcomes of systems or processes that have randomness or uncertainty. Statistics describes and summarizes characteristics of observed outcomes, or data, extracts patterns from it, and makes statements about underlaying mechanisms of the systems or processes. In other words, statistics is the science of learning from data.
The text brings together many of the main ideas in modern statistics in one place. Most books which combine probability and statistics begin with 200+ pages on probability and little time is left for statistics. Our text covers probability in only 86 pages. I plan to cover the first 14 chapters.
Broad Course Objectives
Students with disabilities who require reasonable accommodations to participate fully in the course activities or meet course requirement are encouraged to register with the ADAPTS Disability services at 404.894.2564 or http://adapts.gatech.edu. Please contact me ahead of time to discuss any issues related to disabilities.
Probability and statistics can be viewed as inverse fields. Probability is the mathematical language of randomness with tools which enables you to make predictive statements about outcomes of systems or processes that have randomness or uncertainty. Statistics describes and summarizes characteristics of observed outcomes, or data, extracts patterns from it, and makes statements about underlaying mechanisms of the systems or processes. In other words, statistics is the science of learning from data.
The text brings together many of the main ideas in modern statistics in one place. Most books which combine probability and statistics begin with 200+ pages on probability and little time is left for statistics. Our text covers probability in only 86 pages. I plan to cover the first 14 chapters.
Broad Course Objectives
- Learn the language and core concepts of probability theory, and to model using probability.
- Understand basic principles of statistical inference (both frequentist and Bayesian).
- Build a starter statistical toolbox with appreciation for both the utility and limitations of these techniques.
- Use software and simulation to do statistics.
- Become an informed consumer of statistical information.
Students with disabilities who require reasonable accommodations to participate fully in the course activities or meet course requirement are encouraged to register with the ADAPTS Disability services at 404.894.2564 or http://adapts.gatech.edu. Please contact me ahead of time to discuss any issues related to disabilities.