Statistics Course Descriptions

Faculty | Major | Minors | Mathematics Course Descriptions
Statistics Course Descriptions | Computer Science Course Descriptions
Other Departments

STAT 160   Statistical Methods   3 Credit Hours
Required of all biology majors; open to others. Not open to Mathematics or Computer Science Majors.
Formerly MATH 160.
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 361   Introduction to Probability and Statistics    3 Credit Hours
Prerequisites: MATH 131 or MATH 106
Required of all mathematics and computer science majors.
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 366   Applied Statistics   3 Credit Hours
Prerequisite: STAT 361 or BADM 205
A course in applied statistics covering practical statistical methods. Topics include comparisons of populations, methods of testing the independence of two variables, statistical methods of verifying or rejecting distributional assumptions, analysis of variance, simple linear regression, and certain nonparametric procedures. Students will obtain experience with statistical packages.

STAT 461   Data Analysis   3 Credit Hours
Prerequisite: Previous statistics course
An introduction to graphical and exploratory analysis of data with extensive use of familiar statistical packages such as MINITAB. Topics include analysis of variance, two-way designs with interaction, multiple regression models, and basic nonparametric procedures.