Results 1 - 10 of 10 Courses

Statistics
Department of Mathematics & Statistics, College of Arts and Science

KEY TO COURSE
DESCRIPTIONS
Statistics > 300-level

Restrictions on credit for introductory statistics courses. Students with credit for STATS 103 are eligible to subsequently take STATS 241, 244, 245 or 246 for credit. Students may NOT take STATS 103 for credit either concurrently with or following STATS 241, 245, 246 or ECON 204. Students may take both STATS 103 and STATS 244 regardless of order completed. Students are not permitted to take more than one of STATS 242, 244, 245 or 246 for credit. Students may take STATS 241 for credit before, concurrently with, or after any one of STATS 244, 245 or 246.

Students with credit for an introductory statistics course offered by another department or college should consult the Statistics Course Regulations in the Arts & Science section of the Calendar and check with that academic unit for any other restrictions. 

STATS 103, 241 and 341 are courses in probability. All other courses carrying the STATS abbreviation are courses in statistics.

UNDERGRADUATE DEGREE COURSES
STATS 341.3
Registration Info — 2004-2005 Regular Session» 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
Registration Info — 2004-2005 Regular Session» 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
Registration Info — 2004-2005 Regular Session» 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
Registration Info — 2004-2005 Regular Session» 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. Includes: 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.

STATS 346.3
Registration Info — 2004-2005 Regular Session» Multivariate Analysis
1/2(3L-1P)
Prerequisite(s): MATH 266, STATS 241, and 344 or 345.

The multivariate normal distribution, multivariate analysis of variance, discriminant analysis, classification procedures, multiple covariance analysis, factor analysis, computer applications.

STATS 347.3
Registration Info — 2004-2005 Regular Session» Non-Parametric Methods
1/2(3L-1P)
Prerequisite(s): STATS 242 or 245 or 246 or a comparable course in statistics.

An introduction to the ideas and techniques of non-parametric analysis. Includes: one, two and K samples problems, goodness of fit tests, randomness tests, and correlation and regression.

STATS 348.3
Registration Info — 2004-2005 Regular Session» Sampling Techniques
1/2(3L-1P)
Prerequisite(s): STATS 242 or 245 or 246 or a comparable course in statistics.

Theory and applications of sampling from finite populations. Includes: simple random sampling, stratified random sampling, cluster sampling, systematic sampling, probability proportionate to size sampling, and the difference, ratio and regression methods of estimation.

STATS 349.3
Registration Info — 2004-2005 Regular Session» Time Series Analysis
1/2(3L-1P)
Prerequisite(s): STATS 241, and 344 or 345.

An introduction to statistical time series analysis. Includes: trend analysis, seasonal variation, stationary and non-stationary time series models, serial correlation, forecasting and regression analysis of time series data.




Special Topics

These courses are offered occasionally by visiting faculty and in other special situations. Students interested in these courses should contact the department for more information.
STATS 398.3

1/2(3S)

STATS 399.6

1&2(3S)

  Results 1 - 10 of 10 Courses