STATISTICS (STT) STT 2810. Introduction to Data Analysis and Statistical Inference/(3).F;S. A study of statistical problem solving and methodology including organization and presentation of data, probability, statistical distributions, confidence intervals and hypothesis testing. Emphasis will be on conceptual understanding, computational procedures and interpretation of results rather than theoretical development. Statistical software will be utilized in the analysis of data. Prerequisite: MAT 1010 or equivalent. (NUMERICAL DATA; COMPUTER) (ND Prerequisite: Passing the math placement test or successful completion of MAT 0010.) STT 3500. Independent Study/(1-4).F;S. STT 3520. Instructional Assistance/(1).F;S. A supervised experience in the instructional process on the university level through direct participation in a classroom situation. Grading will be on a satisfactory/unsatisfactory basis only. Prerequisite: Junior or senior standing. May be repeated for a total credit of three semester hours. STT 3530-3549. Selected Topics/(1-4).On Demand. STT 3820. Statistical Methods I/(3).F;S. A continuation of STT 2810. A study of both parametric and non-parametric statistical methods and inferential procedures. Topics include: robust procedures for single parameter inference; techniques for comparing two distributions; inference in the simple regression model based on least squares analysis; robust alternatives to least squares line fitting; error rates and power. Emphasis is on a non-theoretical development of statistical techniques and on the interpretation of statistical results. Statistical software will be utilized in the analysis of data. Prerequisite: STT 2810 or equivalent. (NUMERICAL DATA; COMPUTER) (ND Prerequisite: Passing the math placement test or successful completion of MAT 0010.) STT 3830. Statistical Methods II/(3).S.Even- numbered years. A continuation of STT 3820. A study of both parametric and non-parametric statistical methods and inferential procedures. Topics include: contingency table analysis; analysis of variance; experimental design; selected topics from multiple regression; error rates and power. Emphasis is on a non-theoretical development of statistical techniques and on the interpretation of statistical results. Statistical software will be utilized in the analysis of data. Prerequisite: STT 3820 or equivalent. (NUMERICAL DATA; COMPUTER) (ND Prerequisite: Passing the math placement test or successful completion of MAT 0010.) STT 3840. Elementary Probability and Survey Sampling/(3).F.Even-numbered years. The course begins with an introduction to discrete probabilities and related applications. In particular, the application of probability to sampling is studied in detail. The remainder of the course is devoted to the theory of sampling and sampling techniques. Applications are highlighted through examples and illustrated problems. Prerequisite: STT 2810 or permission of instructor. (WRITING) STT 3850. Introduction to Probability and Statistics/(4).S. An introduction to statistical methods and probability modeling. Topics include data analysis, axiomatic probability, random variables, standard discrete and continuous random variables, sampling distributions, and statistical inference. Statistical software will be utilized for analyzing data and for simulating probability and sampling distributions. Prerequisite: MAT 1120. (NUMERICAL DATA; COMPUTER) (ND Prerequisite: Passing the math placement test or successful completion of MAT 0010.) STT 4250. Probability Modeling with Applications/(3).F. An introduction to probability modeling. Topics include a study of sample spaces, counting rules, conditional probability and independence, random variables and their properties, and applications. Prerequisite: MAT 1120. STT 4820. Design and Analysis of Experiments/(3).F.Odd-numbered years. The course begins with a review of sampling, sampling distributions, and simple comparative experiments. Single factor experiments with both fixed and random effects are considered. Designs illustrated include randomized blocks, latin squares and factorial experiments. Mixed models and rules for expected mean square are presented. Model adequacy, sample size considerations, power determinations and restrictions on randomization procedures are discussed. The use of statistical software packages is integrated throughout the course. Prerequisite: STT 3820, or permission of instructor. (WRITING) [Dual-listed with STT 5820.] STT 4830. Linear Regression Models/(4).S. An introduction to least squares estimation in simple and multiple regression models. The matrix approach is used in the more general multiple regression model. Considerable attention is given to the analysis of variance, aptness of the model tests, residual analysis, the effects of multicollinearity, and variable selection procedures. Prerequisites: MAT 2240 and STT 3820. (WRITING; NUMERICAL DATA; COMPUTER) [Dual-listed with STT 5830.] (ND Prerequisite: Passing the math placement test or successful completion of MAT 0010.) STT 4860. Mathematical Statistics I/(3).F. An introduction to the mathematical principles of statistical inference. Topics include a study of sampling theory, point and interval estimation, and hypothesis testing. Prerequisite: STT 4250 and MAT 2130. [Dual-listed with STT 5860.] STT 4865. Mathematical Statistics II/(3).S.Odd-numbered years. A study of mathematical statistics to include such topics as sampling distributions, consistency, best asymptotic normal estimators, sufficiency, maximum likelihood estimation, Bayes' estimators, confidence intervals and tests of hypotheses. Prerequisite: STT 4860. [Dual-listed with STT 5865.] STT 4870. Senior Seminar in Statistics/(1).On Demand. A course designed to provide majors in statistics and other related fields the opportunity to study statistics problems from a variety of sources and to examine their statistical analyses. The emphasis will be on the oral and written presentations of statistical results. The course should prepare the student for making the transition from academic courses to statistical practice. Students taking this course should have completed most of the courses offered in the statistics curriculum. Prerequisite: permission of instructor. (WRITING; SPEAKING)