STAT 160 Statistical Methods Three Credit Hours
An elementary treatment of probability and statistical concepts. Topics include descriptive statistics, probability basics, population distribution, sampling distribution, and hypothesis testing for population mean. Emphasis will be placed on understanding the fundamental concepts in statistics and interpretation of statistical results. Excel/calculators are used for computation.
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, probability theory, probability distributions, central limit theorem, sampling distribution, and hypothesis testing for parameters of population. A statistical package will be introduced.
STAT 290 Topics in Statistics Three Credit Hours
Prerequisite: Permission of the instructor
A study of a particular aspect of statistics or a related area that is of interest to computer science, mathematics and other majors, but is not in the department list of standard courses.
STAT 362 Experimental Design Three Credit Hours
Prerequisite: STAT 160 or STAT 261
This course will build the foundation of statistical skills in design of experiments and surveys. Topics include completely randomized design, completely randomized block design, and factorial design. Examples will be from a variety of disciplines, such as engineering, biomedical, business, psychology, and politcal science. It will introduce statistical packages in R to analyze data generated from experiments and surveys.
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 statistics 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 451 Applications of Data Analytics and Development Three Credit Hours
Prerequisite: STAT 261 or STAT 366 or BANA 201
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 resampling techniques such as bootstrap method.
STAT 461 Data Analysis Three Credit Hours
Prerequisite: STAT 261 or STAT 366 or BANA 206
This course provides hands-on applications of analytics for decision-making and forecasting. Examples are from social media analytics, business analytics, sports analytics, and other data-oriented disciplines. It will focus on extracting information from up-to-date data. Topics will include databases, data visualization, smooth splines, data transformation, and applications of regression analysis. It will introduce statistical packages of data analytics in R.
STAT 490 Advanced 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.