STAT 24400-24500 - Statistical Theory and Methods I,II

Institution:

University of Chicago

Subject:

Description:

PQ: Multivariate Calculus (MATH 19520 or 20000 or equivalent) and Linear Algebra (MATH 19620, 25500 or STAT 24300 or equivalent). Some previous experience with statistics helpful but not required. This course is a systematic introduction to the principles and techniques of statistics, with emphasis on the analysis of experimental data. The first quarter covers tools from probability and the elements of statistical theory. Topics include the definitions of probability and random variables, binomial and other discrete probability distributions, normal and other continuous probability distributions, joint probability distributions and the transformation of random variables, principles of inference (including Bayesian inference), maximum likelihood estimation, hypothesis testing and confidence intervals, likelihood ratio tests, multinomial distributions, and chi-square tests. Examples are drawn from the social, physical, and biological sciences. The coverage of topics in probability is limited and brief, so those who have taken a course in probability find reinforcement rather than redundancy. The second quarter covers statistical methodology, including the analysis of variance, regression, correlation, and some multivariate analysis. Some principles of data analysis are introduced, and an attempt is made to present the analysis of variance and regression in a unified framework. The computer is used in the second quarter. Autumn, Winter; Winter, Spring. (Note that the Autumn/Winter sequence tends to be slightly more advanced than the Winter/Spring sequence.)

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

WWW.UCHICAGO.EDU

Phone Number:

(773) 702-1234

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Quarter

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