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BIOSTAT 701 - Introduction to Statistical Theory and Methods I

Description
This course provides a formal introduction to the basic theory and methods of probability and statistics. It covers topics in probability theory with an emphasis on those needed in statistics, including probability and sample spaces, independence, conditional probability, random variables, parametric families of distributions, sampling distributions. Core concepts are mastered through mathematical exploration, simulations, and linkage with the applied concepts studied in BIOSTAT 704. Prerequisite: 2 semesters of calculus or its equivalent (multivariate calculus preferred). Familiarity with matrix algebra is helpful. Corequisites: BIOSTAT 702, BIOSTAT 703 Credit: 3
Credits
3
Recent Professors
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Recent Semesters
Fall 2020, Fall 2019, Fall 2018, Fall 2017
Offered
MW
Avg. Class Size
30
Avg. Sections
1