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Course Criteria
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3.00 Credits
3 s.h. Axioms of probability and elementary laws. Random variables. Discrete and continuous probability distributions and applications. Expectation and variance of random variables. Jointly distributed random variables, conditional probability. Descriptive statistics. Estimation and hypothesis testing. Use of a statistical software package. ( LA) Prerequisite: MATH 174.
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2.00 - 3.00 Credits
2-3 s.h. Assisting the statistics faculty with the preparation of class material and Computer Lab assignments, correcting homework assignments, providing statistical consulting, supervising the Computer Lab, and providing tutorial help to students enrolled in the introductory statistics courses. Prerequisites: At least 9 s.h. in STAT and permission of instructor.
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1.00 - 3.00 Credits
1-3 s.h. Individual studies or research activities carried out under the direction of appropriate departmental faculty. ( LA) Prerequisites: SoS and permission of instructor.
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3.00 Credits
3 s.h. The structure of multivariate observations, inference on means, estimation and hypotheses testing; assumptions and goals of factor analysis, principle component analysis; linear discriminant analysis. Use of a statistical software package. ( LA) Prerequisite: STAT 201 or permission of instructor.
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3.00 Credits
3 s.h. Techniques of constructing and analyzing designs for experimental investigations, planning of experiment, randomization and replication, concepts of blocking, randomized block design, other designs, factorials, confounding and fractional replication, incomplete block design, response surface design. ( LA) Prerequisite: STAT 201.
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3.00 Credits
3 s.h. Technique of survey, methods of selecting samples, estimation, simple random sample, stratified sampling, sampling for proportions, double sampling, sampling for time series. ( LA) Prerequisite: STAT 201.
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3.00 Credits
3 s.h. In this course students learn to: 1) use regression models to formulate and estimate quantitative relationships between economic variables; 2) test hypothesis concerning the strength of these relationships; and 3) identify and correct problems encountered in applying regression models to economic data. ( LA) Cross-listed as ECON 373 and BUS 373. Prerequisites: STAT 101 and two of the following: STAT 201, ECON 211, ECON 212.
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3.00 Credits
3 s.h. Standard methods of operations research such as mathematical programming, transportation models, inventory models, network models, decision analysis. Use of software for solving problems. Prerequisite: Math 173. ( LA)
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3.00 Credits
3 s.h. Set theory, sample space, probability, distribution functions and their properties, sampling distributions, discrete and continuous distributions, moment generating functions, bivariate normal and multivariate distribution. ( LA) Prerequisite: MATH 276.
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3.00 Credits
3 s.h. Inference from finite and infinite populations, theory of estimation, tests of hypothesis, linear hypothesis theory, regression and correlation, non-parametric methods, introduction to theory of analysis of variance. ( LA) Prerequisite: STAT 361.
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