Lower-Division

STAT 5 Statistics

Introduction to statistical methods/reasoning, including descriptive methods, data-gathering (experimental design and sample surveys), probability, interval estimation, significance tests, one- and two-sample problems, categorical data analysis, correlation and regression. Emphasis on applications to the natural and social sciences. Students cannot receive credit for this course if they have already received credit for course 7. (Formerly AMS 5.)

Credits

5

Instructor

Herbert Lee, Athanasios Kottas, Bruno Sanso, Bruno Mendes, Yonathan Katznelson, David Draper, Marcella Alfaro

General Education Code

SR

Quarter offered

Fall, Winter, Spring, Summer

STAT 7 Statistical Methods for the Biological, Environmental, and Health Sciences

Case-study-based introduction to statistical methods as practiced in the biological, environmental, and health sciences. Descriptive methods, experimental design, probability, interval estimation, hypothesis testing, one- and two-sample problems, power and sample size calculations, simple correlation and simple linear regression, one-way analysis of variance, categorical data analysis. (Formerly AMS 7.)

Credits

5

Instructor

The Staff, Herbert Lee, Raquel Prado, Bruno Mendes, David Draper, Ju Hee Lee, Rajarshi Guhaniyogi

Requirements

Prerequisite(s): score of 300 or higher on the mathematics placement examination (MPE), or AM 3 or AM 6 or AM 11A or AM 15A or MATH 3 or MATH 11A or MATH 19A. Concurrent enrollment in STAT 7L is required.

General Education Code

SR

Quarter offered

Fall, Winter, Spring, Summer

STAT 7L Statistical Methods for the Biological, Environmental, and Health Sciences Laboratory

Computer-based laboratory course in which students gain hands-on experience in analysis of data sets arising from statistical problem-solving in the biological, environmental, and health sciences. Descriptive methods, interval estimation, hypothesis testing, one-and two-sample problems, correlation and regression, one-way analysis of variance, categorical data analysis. (Formerly AMS 7L.)

Credits

2

Instructor

The Staff, Herbert Lee, Raquel Prado, David Draper, Ju Hee Lee, Rajarshi Guhaniyogi

Requirements

Prerequisite(s): score of 300 or higher on the mathematics placement examination (MPE), AM 3 or AM 6 or AM 11A or AM 15A or MATH 3 or MATH 11A or MATH 19A. Concurrent enrollment in STAT 7 is required.

Quarter offered

Fall, Winter, Spring, Summer

STAT 80A Gambling and Gaming

Games of chance and strategy motivated early developments in probability, statistics, and decision theory. Course uses popular games to introduce students to these concepts, which underpin recent scientific developments in economics, genetics, ecology, and physics. (Formerly AMS 80A.)

Credits

5

Instructor

Herbert Lee, Athanasios Kottas, Bruno Mendes, Rajarshi Guhaniyogi

General Education Code

SR

Quarter offered

Fall, Winter

STAT 80B Data Visualization

Introduces the use of complex-data graphical representations to extract information from data. Topics include: summary statistics, boxplots, histograms, dotplots, scatterplots, bubble plots, and map-creation, as well as visualization of trees and hierarchies, networks and graphs, and text. (Formerly AMS 80B.)

Credits

5

Instructor

The Staff

General Education Code

SR

Quarter offered

Fall