STAT Statistics

STAT   2231   Introduction to Statistics I

3 Credit Hours.   3 Lecture Hours.   0 Lab Hours.

An introductory statistics course which covers descriptive statistics, probability, random variables and selected probability distributions, statistical inference including confidence intervals and hypothesis tests. Appropriate technology will be used for simulation and to solve statistical problems. Neither a background in calculus nor experience with computers is required.

Prerequisite(s): A minimum grade of "C" in MATH   1101, MATH   1111, MATH   1112, MATH   1113, MATH   1232, MATH   1441.

Cross Listing(s): STAT   2231H.

STAT   2231H   Introduction to Statistics I

3 Credit Hours.   3 Lecture Hours.   0 Lab Hours.

An introductory statistics course which covers descriptive statistics, probability, random variables and selected probability distributions, statistical inference including confidence intervals and hypothesis tests. Appropriate technology will be used for simulation and to solve statistical problems. Neither a background in calculus nor experience with computers is required.

Prerequisite(s): A minimum grade of "C" in MATH   1101, MATH   1111, MATH   1112, MATH   1113, MATH   1232, MATH   1441, MATH   1441H.

Cross Listing(s): STAT   2231.

STAT   2232   Introduction to Statistics II

3 Credit Hours.   3 Lecture Hours.   0 Lab Hours.

A continuation of STAT   2231. The focus is on inferential procedures to compare the same characteristic between two or more populations and inferential procedures to investigate the relationship between two or more variables from the same population. Topics include tests of association, regression, correlation, and analysis of variance. The statistical software package SPSS is used.

Prerequisite(s): STAT   2231 with a minimum grade of "C".

STAT   3130   Applied Statistics

3 Credit Hours.   3 Lecture Hours.   0 Lab Hours.

An introductory course in applied statistics for students in the natural sciences, social sciences, health and professional studies, technology, and business. The material covered will provide an introduction to statistical concepts and terminology while focusing on descriptive and inferential methods of data analysis. Both parametric and nonparametric methods are presented for the analysis of central tendency, variability, proportions, and categorical data. Topics covered also include regression and correlation.

Prerequisite(s): MATH   1111.

STAT   4090   Selected Topics in Statistics

1-3 Credit Hours.   1-3 Lecture Hours.   0-2 Lab Hours.

Specialized study in a selected area of Statistics.

Prerequisite(s): Permission of instructor required.

STAT   4890   Directed Study in Statistics

1-3 Credit Hours.   1-3 Lecture Hours.   0-2 Lab Hours.

Directed study under faculty supervision. Well-prepared statistics students may be permitted to enroll in an independent study upon the recommendation of a Statistics faculty member.

Prerequisite(s): Permission of instructor and Department Chair required.

STAT   5130   Sampling and Survey Methods

3 Credit Hours.   3 Lecture Hours.   0 Lab Hours.

An introduction to the design and analysis of sample surveys suitable for students in business, social sciences, and biological sciences in addition to the mathematical sciences. Comparison of simple random sampling, stratified, systemic, cluster and multistage sampling. Emphasis on appropriate sample type and estimation of parameters.

Prerequisite(s): STAT   2231 with a minimum grade of "C".

Cross Listing(s): STAT   5130G.

STAT   5330   Introduction to Mathematical Statistics

3 Credit Hours.   3 Lecture Hours.   0 Lab Hours.

An introductory course intended to present a solid foundation in statistical theory, and, at the same time, to provide an indication of the relevance and importance of the theory in solving practical problems in the real world. Topics include, moments and moment-generating functions, point and interval estimation, test of statistical hypothesis, contingency tables and goodness-of-fit, nonparametric methods, and introduction to linear models. This course covers part of the material outlined in the Society of Actuaries' course 110.

Prerequisite(s): MATH   3337 with a minimum grade of "C".

Cross Listing(s): STAT   5330G.

STAT   5531   Statistical Methods I

3 Credit Hours.   3 Lecture Hours.   0 Lab Hours.

This is the first of a two course sequence in applied statistics. The material covered will provide an introduction to statistical concepts and terminology while focusing on descriptive and inferential methods of data analysis. Topics include descriptive statistics, parameter estimation, tests of significance, confidence intervals, analysis of variance, simple linear regression and correlation, and resampling methods including bootstrapping. Both parametric and nonparametric methods are presented for the analysis of central tendency, variability, proportions and categorical data.

Prerequisite(s): A minimum grade of "C" in MATH   3337.

Cross Listing(s): STAT   5531G.

STAT   5532   Statistical Methods II

3 Credit Hours.   3 Lecture Hours.   0 Lab Hours.

This is the second of a two course sequence in applied statistics. The material covered will provide an introduction to the ideas of linear models and experimental design while focusing on methods of data analysis using regression and analysis of variance. Topics include multiple regression analysis, analysis of variance with multiple classification, analysis of covariance, repeated measures analysis of variance, multiple comparison techniques, and diagnostic procedures and transformations. Suitable for students in business administration, economics, and the social, health and biological sciences.

Prerequisite(s): A minimum grade of "C" in STAT   5531.

Cross Listing(s): STAT   5532G.