1991-1993 Catalog - Catalogs - West Virginia University

196. Statistics Seminar. II. 1 hr. PR: Student must be a Statistics major. Satisfactorycompletion of the course requires that the student present a 20- to 50-minute talk on aselected topic and attend all scheduled meetings.197. Statistics Practicum. I. 1 hr. PR: Stat. 201 and C.S. 1 ; open to Statistics majorsonly. Analysis of actual experiments using a computer under supervision of a facultymember.201. Introduction to Probability and Statistics. I, II. 3 hr. PR: Math. 16. Probability,random variables, discrete and continuous probability distributions, joint probabilitydistributions, expected value. The central limit theorem. Point and interval estimationand tests of hypotheses. Chi- square tests, linear regression, and correlation.212. Intermediate Statistical Methods. I, II. 3 hr. PR: Stat. 101 or 201 orequiv.Extension of basic concepts of statistical inference: estimation and hypothesis testingfor more than two populations, multiple regression and correlation, curvilinearregression, analysis of variance and covariance.213. Introductory Design and Analysis. II. 3 hr. PR: Stat. 212. Introduction to the linearmodel, the complete and fractional factorial experiment, and the completely random,randomized complete block, Latin square, and split-plot experimental designs.221. Statistical Analysis System (SAS). I, II. 3 hr. PR: Stat. 101 or 201 orequiv., andC.S. 1 or equiv. Introduction to the use of the Statistical Analysis System (SAS), astatistical computer program. Students will perform statistical data analysis, data filemodifications, and statistical report writing.231 . Sampling Methods. I. 3 hr. PR: Stat. 101 or 201 or equiv. Methods of samplingfrom finite populations, choice of sampling unit and sample survey design. Estimationof confidence limits and optimum sample size. Single and multistage samplingprocedures.251 . Data Analysis. II. (Alternate Years.) 3 hr. PR: Stat. 213. Computer analyses ofsimulated or real unbalanced data using a matrix approach to linear models. Thetechniques will include least squares analysis of variance and covariance, multiple,and polynomial regression, and multiple discrimination.261 Theory of Probability. I. 3 hr. PR: Math. 16. Theoretical coverage of probability,random variables, discrete and continuous probability distributions. Expected value,moment generating functions, special probability distributions. Random sampling anddistributions of certain functions of random variables. The Central Limit Theorem.262. Theory of Statistics. II. 3 hr. PR: Stat. 261 . Theoretical introduction to statisticalinference. Properties of estimators and techniques of estimation. Hypotheses testingincluding the Neyman- Pearson Lemma and likelihood ratio tests. Regression andcorrelation. Selected topics.291 . Topics in Statistics. I, II, S. 3 hr. PR: Stat. 201 or equiv. Advanced study of topicsin statistics.Swahlli (Swah.)1 . Beginning Swah Hi. I. 3 hr.2. Beginning Swahili. II. 3 hr. PR: Swah. 1 . Continuation of Swah. 1.3. Intermediate Swahili. I. 3 hr. PR: Swah. 1, 2, orequiv.4. Intermediate Swahili. II. 3 hr. PR: Swah. 3 or equiv.Swahili Courses 439