 STAT 160 Statistical Methods Three Credit Hours
An elementary treatment of probability and statistical concepts. Topics include data collection, descriptive statistics, measures of central tendency and dispersion, normal and binomial distributions, hypothesis testing, correlation and linear regression. Emphasis will be placed on understanding statistical concepts, experimental design, and interpretation of statistical results. A statistical package will be introduced.

STAT 261 Introduction to Probability and Statistics Three Credit Hours
Prerequisites: MATH 131 or MATH 106
An introduction to probability and statistical concepts. Topics include frequency distributions, measures of central tendency and dispersion, probability rules, probability distributions, sampling distributions, hypothesis testing, analysis of variance, correlation, and regression. A statistical package will be introduced.

STAT 290 Topics in Statistics Three Credit Hours
A study of a particular aspect of mathematics or a related area at junior level that is of interest to both mathematics major and other majors, but is not on our list of standard mathematics courses. This course assumes no prerequisites.

STAT 366 Applied Statistics Three Credit Hours
Prerequisite: STAT 160 or STAT 261
A course in applied statistics covering practical statistical methods. Topics include comparisons of population means, One-Way ANOVA, simple linear regression, categorical data analysis and certain non-parametric procedures. A statistical package will be introduced.

STAT 390 Topics in Statistics Three Credit Hours
A study of a particular aspect of mathematics or a related area at junior level that is of interest to both mathematics major and other majors, but is not on our list of standard statistics courses. The offering of this course will depend upon the interest of the students, the availability of an instructor, and approval of the department head.  Since the content of the course may change, a student may repeat the course for credit with the consent of the department head.

STAT 461 Data Analysis Three Credit Hours
Prerequisite: STAT 261 or STAT 366 or BADM 206
An introduction of using statistical packages such as R to analyze data from real world examples. Topics include exploratory analysis of data, the analysis of variance, linear regression models, multiple comparisons and re-sampling techniques such as bootstrap method.

STAT 490 Topics in Statistics Three Credit Hours
Prerequisite: Permission of the instructor
Selected topics in statistics. The offering of this course will depend upon the interest of the students, the availability of an instructor, and approval of the department head. Since the content of the course may change, a student may repeat the course for credit with the consent of the department head.