Courses in Statistics

STA 1313. Statistical Reasoning. Topics include basic descriptive statistics, correlation, regression, probability, sampling, experimental design, and distributions with an emphasis on analysis instead of computation. Prerequisites: MTH 0003 (with a grade of C or better), or a mathematics ACT score of at least 19 (or equivalent score on an admission exam approved by HSU).

STA 1314. Statistical Reasoning - Enhanced. Topics include basic descriptive statistics, correlation, regression, probability, sampling, experimental design, and distributions with an emphasis on analysis instead of computation. Prerequisites: MTH 0003 with a grade of C or better, or MTH ACT of 17 or better.

STA 2054. Applied Biostatistics. Topics include descriptive statistics, experimental design, correlation, regression, probability distributions, parametric and nonparametric procedures, tests of normality, ANOVA and ad hoc procedures. Applications in the biological sciences will be emphasized, and professional statistical software will be used. Course Prerequisites: MTH 1243 or MTH 1244 or MTH 1273 or STA 1313 or STA 1314 or consent of department.

STA 2323. Statistical Methods. Topics include descriptive statistics, correlation, regression, introduction to probability, basic probability distributions, confidence intervals, hypothesis testing, 1-way analysis of variance. Prerequisites: Prerequisites: MTH 1033 or MTH 1034 or MTH 1083 or MTH 1213 or MTH 1243 or MTH 1244 or MTH 1273 or STA 1313 or STA 1314 or consent of department.

STA 2611, 2612, 2613, 2614, 2615, 2616. Internship in Statistics. See MTH 4621.

STA 3163. Probability and Statistics I. See MTH 3163.

STA 3443. Statistical Computing. An introduction to professional statistical software that involves data management, basic programming skills required for doing advanced applied statistics. Emphasis will be on data manipulation, statistical analysis, model fitting, simulation, parametric and nonparametric methods, communication, and interpreting results. (STA 2323 or STA 2054).

STA 4013. Applied Regression Analysis. Simple linear regression and associated special topics, multiple linear regression, indicator variables, influence diagnostics, assumption analysis, selection of "best subset", nonstandard regression models, logistic regression, nonlinear regression models. Prerequisite: (STA 2323 or STA 2054) and (STA 3443 or MTH 1294)

STA 4023. Applied Analysis of Variance. One-way ANOVA, two-way additive ANOVA, two-way ANOVA with interaction, analysis of covariance, Levene’s Test for homogeneity, ad hoc procedures, Kruskal Wallis Test, Randomized F test, and an introduction to experimental design. Prerequisite: (STA 2323 or STA 2054) and (STA 3443 or MTH 1294)

STA 4033. Nonparametric Statistical Methods. An introduction to distribution-free procedures which include the sign test, Wilcoxon tests, chi-squared tests, McNemar’s test, bootstrapping, and rank-based ANOVA. The efficiency of these is compared with the corresponding classical procedures. (STA 2323 or STA 2054) and (STA 3443 or MTH 1294)

STA 4043. Statistical Analysis of Time Series. Time series components, descriptive smoothing methods, regression models for time series data, forecasting via exponential smoothing, evaluation of forecasts, autocorrelation, ARIMA models and Box-Jenkins methods, combining forecasts, frequency domain analysis, filtering. (STA 2323 or STA 2054) and (STA 3443 or MTH 1294)

STA 4433. Probability and Statistics II. See MTH 4433.

STA 4621, 4622, 4623, 4624, 4625, 4626.  Internship in Statistics. See MTH 4621.