Undergraduate Catalog Statistics (STAT) Courses
111. Understanding Statistics I, II 3 Hr. Introduction to basic concepts and ideas of statistics. Methodologies and case studies to prepare students to understand the use of statistics in the mass media and professional publications in their major field of study. Not open to students who have earned the credit for STAT 211 or STAT 215.
205. Introductory Probability and Statistical Inference. I. 3 hr. PR: MATH 150 or equiv. Probability, random variables, expectation, random sampling, descriptive statistics, sampling distributions, estimation, hypothesis testing, linear regression, nonparametric statistics.
211. Elementary Statistical Inference I, II S. 3 Hr. PR: MATH 124 or MATH 126 (Not open to students who have completed STAT 215). Basic concepts of descriptive and inferential statistics: descriptive measures, random variables, sampling distributions, estimation, tests of hypothesis, chi-square tests, regression, and correlation.(Equivalent to ECON 225)
215. Introduction to Probability and Statistics. I, II, S. 3 hr. PR: MATH 156. Probability, random variables, discrete and continuous probability distributions, joint probability distributions, expected value. The central limit theorem. Point and interval estimation and tests of hypotheses. Chi-square tests, linear regression, and correlation.
217. Industrial Statistics. II 3 Hr. Pr. STAT 215 or equivalent. Statistical methods for solving industrial problems including statistical quality and process control , reliability modeling, sequential analysis, and time series analysis. Methodology for these problems will utilize a statistical software program.
312. Intermediate Statistical Methods. I, II. 3 hr. PR: STAT 211 or 215 or equiv. Extension of basic concepts of statistical inference: estimation and hypothesis testing for more than two populations, multiple regression and correlation, curvilinear regression, analysis of variance and covariance.
313. Introductory Design and Analysis. II. 3 hr. PR: STAT 312. Introduction to the linear model, the complete and fractional factorial experiment, and the completely random, randomized complete block, Latin square, and split-plot experimental designs.
316. Forensic Statistics. I. 3 Hr. PR: STAT 215 Probabilistic and statistical evaluation of evidence in forensic science: concepts of uncertainty/variation, discriminating power, coincidence/significance probabilities, historical overview, transfer evidence, DNA profiling, fingerprint identification, biometric identification, and selected statistical topics/case studies.
331. Sampling methods. I. 3 hr. PR: STAT 211 or 215 or equiv. Methods of sampling from finite populations, choice of sampling unit, and sample survey design. Estimation of confidence limits, and optimum sample size. Single and multistage sampling procedures
421. Statistical Analysis System (SAS). I. 3 hr. PR: STAT 211 and 215 or equiv., and CS 110 or equiv. Introduction to the use of the Statistical Analysis System (SAS), a statistical computer program. Students will perform statistical data analysis, data file modifications, and statistical report writing.
445. Data Analysis. I. 3 hr. PR: STAT 313. Computer analyses of simulated or real unbalanced data using a matrix approach to linear models. The techniques will include least squares analysis of variance and covariance, multiple and polynomial regression, and multiple discrimination.
461. Theory of Probability. I. 3 hr. PR or Conc.: MATH 156. Theoretical coverage of probability, random variables, discrete and continuous probability distributions. Expected value, moment generating functions, special probability distributions. Random sampling and distributions of certain functions of random variables. The Central Limit Theorem.
462. Theory of Statistics. II. 3 hr. PR: STAT 461. Theoretical introduction to statistical inference. Properties of estimators and techniques of estimation. Hypotheses testing including the Neyman-Pearson Lemma and likelihood ratio tests. Regression and correlation. Selected topics.
482. Statistics Practicum. I 1. Hr. PR: STAT 313. A capstone experience core course. Students are expected to: research and design (optionally) a study, do independent statistical analyses of a data set, and present the results in both verbal and written forms.
490. Teaching Practicum. 1-3 HR. PR: Consent. Teaching practice as a tutor or assistant.
491. Professional Field Experience. 1-15 Hr. PR: Consent. (May be repeated up to a maximum of 18 hours) Prearranged experiential learning program , to be planned, supervised, and evaluated for credit by faculty and field supervisors. Involves temporary placement with public enterprise for professional competence development.
493. Special Topics. 1-6 Hr. PR: Consent. Advanced study of special topics in statistics which were not covered in regularly scheduled courses.
494. Seminar. 1-3 hr. PR: Consent. Presentation and discussion of topics of mutual concern to students and faculty.
496. Senior Thesis 1-3 Hr. PR: Consent.