Prereq: MATH 101 or equivalent
An introduction to statistics for educational and sociological research. The course will include descriptive statistics, normal distribution and an introduction to correlation and hypothesis testing.
Prereq: MATH 115 or MATH 123
Descriptive statistics; statistical inference using the binomial, normal, F and Chi Square distributions; and analysis of variance topics. Recommended for departmental majors as the beginning applied statistics course.
Prereq: STAT 345 or equivalent
The study of statistical models with emphasis on decision theory, simulation theory, inventory models, Markov chains, and queing theory.
Prereq: STAT 241 or equivalent
Introduction to planning, execution and analysis of surveys, methods of sampling, estimation of population values, and efficiency of methods.
Prereq: One introductory statistics course knowledge of computers
The analysis of data taken from the social sciences. The computer will be a tool for the course.
Prereq: MATH 260
The mathematical development of discrete and continuous probability distributions including multivariate distributions, moments and moment generating functions, the special discrete and continuous probability distributions, the normal distribution, sampling distributions, and hypothesis testing.
Prereq: none
A continuation of 441/841P. The further mathematical development of special probability densities, functions of random variables, sampling distributions, decision theory, point and interval estimators, hypotheses testing, and covariance.
Prereq: STAT 345 or equivalent
Inferences from small samples, linear regression and correlation, introduction to experimental designs, analysis of variance, analysis of covariance, statistical efficiency and errors.
Prereq: STAT 345 or equivalent
Computer- oriented statistical methods involving concepts and techniques for experimental research. Application of the following methods on a digital computer: Estimating parameters and testing hypotheses about them, linear least squares, analysis of variance and covariance, multiple linear regression, and piecewise linear regression.
Prereq: STAT 241 or equivalent
An introduction to statistical methods for controlling quality and productivity of products and services including acceptance sampling, control charts, and process-control techniques.
Prereq: STAT 241 or equivalent
Examination of the methods used in time series analysis and forecasting with emphasis on application in business, engineering, and the sciences including computer analysis of data, model building, forecasting time series and the violation of model assumptions.
Prereq: none
This course consists of related topics chosen from the areas of statistics appropriate to the student's program and will involve both formal lectures and independent study.
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