STATS 103.3
Elementary Probability
1/2(3L)
Prerequisite(s): Mathematics B30 (or Algebra 30).

An elementary introduction to the concepts of probability, including: sets, Venn diagrams, definition of probability, algebra of probabilities, counting principles, some discrete random variables and their distributions, graphical displays, expected values, the normal distribution, the Central Limit Theorem, applications, some statistical concepts.

Note: This is a course in probability, not an introduction to statistics. Students wishing an introduction to statistics should take STATS 244, 245 or 246. This course may not be taken for credit towards a major in mathematics or statistics. Students with credit for MATH 102.6 may not take this course for credit. Students may receive credit for both STATS 103 and 241, 245 or 246, provided STATS 103 is taken and successfully completed first. Students may not receive credit for STATS 103 if ECON 204 has already been completed. Students taking ECON 204 subsequent to STATS 103 may only receive 3 credits for the ECON course. This course may not be used in Requirement 1 for Program Type C.

STATS 241.3
Probability Theory
1/2(3L-1P)
Prerequisite(s): MATH 110 and 116.

Laws of probability, discrete and continuous random variables and their distributions, moments, functions of random variables and their distributions, Central Limit Theorem.

STATS 242.3
Statistical Theory and Methodology
2(3L-1P)
Prerequisite(s): MATH 110 and 116, and STATS 241.

Sampling theory, estimation, testing hypotheses, confidence intervals, goodness of fit, analysis of variance, regression and correlation.

Note: Students are not permitted to take more than one of STATS 242, 244, 245 , 246 or other introductory statistics courses for credit. For further details on courses in statistics refer to the College of Arts & Science statistics program information.

STATS 244.3
Elementary Statistical Concepts
1/2(3L-1P)
Prerequisite(s): A course in a social science (or Mathematics A30).

Statistical concepts and techniques including graphing of distributions, measures of location and variability, measures of association, regression, probability, hypothesis testing. Students should consult with their department before enrolling in this course to determine the status of the course in their program.

Note: For students in one of the Social Sciences, Education or Nursing. This course may not be included in the courses making up a major in mathematics or statistics.

Students are not permitted to take more than one of STATS 242, 244, 245, 246 or other introductory statistics courses for credit. For further details on courses in statistics refer to the College of Arts & Science statistics program information.

STATS 245.3
Introduction to Statistical Methods
1/2(3L-1P)
Prerequisite(s): MATH 100, 101, 102, 110 or STATS 103.

An introduction to basic statistical methods including frequency distributions, elementary probability, confidence intervals and tests of significance, analysis of variance, regression and correlation, contingency tables, goodness of fit.

Note: May not be included in the courses making up a major in mathematics or statistics. Students are not permitted to take more than one of STATS 242, 244, 245, 246 or other introductory statistics courses for credit. For further details on courses in statistics refer to the College of Arts & Science statistics program information.

STATS 246.3
Introduction to Biostatistics
1/2(3L-2P)
Prerequisite(s): MATH B30 and BIOL 110.6 or permission of the Department. One of MATH 101.3, 110.3 or STATS 103.3 recommended but not essential.

An introduction to statistical techniques, with emphasis on methods particularly applicable to biological, and health sciences, including descriptive statistics, estimation and testing, linear and logistic regression, contingency tables, life tables, and experimental design. Computerized data analysis will be an essential component of the labs.

Note: This course may not be included in the courses making up a major in mathematics or statistics. Students are not permitted to take more than one of STATS 242, 244, 245, 246 or other introductory statistics courses for credit. For further details on courses in statistics refer to the College of Arts & Science statistics program information.

STATS 341.3
Probability and Stochastic Processes
1/2(3L-1P)
Prerequisite(s): STATS 241.

Random variables and their distributions; Independence; Moments and moment generating functions; Conditional probability; Markov chains; Stationary time-series.

STATS 342.3
Mathematical Statistics
1(3L-1P)
Prerequisite(s): MATH 225 or 276; STATS 241 and 242.

Probability spaces; conditional probability and independence; discrete and continuous random variables; standard probability models; expectations; moment generating functions; Sums and functions of random variables; Sampling distributions; Asymptotic Distributions. Deals with basic probability concepts at a moderately rigorous level.

Note: Students with credit for STATS 340 may not take this course for credit.

STATS 344.3
Applied Regression Analysis
1/2(3L-1P)
Prerequisite(s): STATS 242 or 245 or 246 or a comparable course in statistics.

Applied regression analysis involving the extensive use of computer software. Includes: linear regression; multiple regression; stepwise methods; residual analysis; robustness considerations; multicollinearity; biased procedures; non-linear regression.

Note: Students with credit for ECON 404 may not take this course for credit. Students with credit for STATS 344 will receive only half credit for ECON 404.

STATS 345.3
Design and Analysis of Experiments
1/2(3L-1P)
Prerequisite(s): STATS 242 or 245 or 246 or a comparable course in statistics.

An introduction to the principles of experimental design and analysis of variance. Topics will include randomization, blocking, factorial experiments, confounding, random effects, analysis of covariance. Emphasis will be on fundamental principles and data analysis techniques rather than on mathematical theory.