# 2021 Remote Statistics Summer Courses

## Statistics (5 credits)

• #### STAT 05

Session 2

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 STAT 7. (Formerly AMS 5.) General Education Code SR

Proposed Instructor - Yonatan Katznelson

• ## Statistical Methods for the Biological, Environmental, and Health Sciences (5 credits)

• #### STAT 7

Session 2

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.) General Education Code SR

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.

Proposed Instructor - Bruno Mendes

• ## Statistical Methods for the Biological, Environmental, and Health Sciences Laboratory (2 credits)

• #### STAT 7L

Session 2

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.)

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.

Proposed Instructor - Laura Baracaldo

• ## Introduction to Probability Theory (5 credits)

• #### STAT 131-01

Session 1

Introduction to probability theory and its applications. Combinatorial analysis, axioms of probability and independence, random variables (discrete and continuous), joint probability distributions, properties of expectation, Central Limit Theorem, Law of Large Numbers, Markov chains. Students cannot receive credit for this course and STAT 203 and CMPE 107. (Formerly AMS 131.) General Education Code SR

Prerequisite(s): AM 11B or ECON 11B or MATH 11B or MATH 19B or MATH 20B.

Proposed Instructor - David Draper

• ## Introduction to Probability Theory (5 credits)

• #### STAT 131-02

Session 2

Introduction to probability theory and its applications. Combinatorial analysis, axioms of probability and independence, random variables (discrete and continuous), joint probability distributions, properties of expectation, Central Limit Theorem, Law of Large Numbers, Markov chains. Students cannot receive credit for this course and STAT 203 and CMPE 107. (Formerly AMS 131.) General Education Code SR

Prerequisite(s): AM 11B or ECON 11B or MATH 11B or MATH 19B or MATH 20B.

Proposed Instructor - David Draper