STAT 2001 - Statistics* (5 credits)
5 credits
In this course, students examine the fundamentals of probability and descriptive and inferential statistics. Students learn concepts of hypothesis testing, simple regression, and correlation analysis, focusing on the application of these techniques to business decision making. Applying these concepts to analyze hypothetical case scenarios, students learn practical ways that they can use statistics in their daily life. Students also have the opportunity to share insight and gain new perspectives on these topics through weekly discussions.
Prerequisites
- MATH 1030 or MATH 1040
STAT 2002 - Business Statistics* (5 credits)
5 credits
In this course, students examine the fundamentals of probability and descriptive and inferential statistics. Students learn concepts of hypothesis testing, simple regression, and correlation analysis, focusing on the application of these techniques to business decision making. Applying these concepts to analyze hypothetical case scenarios, students can learn practical ways that they can use statistics in their daily life. Students also have the opportunity to share insight and gain new perspectives on these topics through weekly discussions.
Prerequisites
- MATH 1030 or MATH 1040
STAT 3001 - Statistical Methods and Applications* (5 credits)
5 credits
Students in this course gain a foundation in statistical methodology as well as ways to use critical judgment in analyzing data sets. Through technology applications and hands-on lab work, students learn concepts of descriptive statistics, hypothesis testing, confidence intervals, t-test, one-way analysis of variance, correlation, and non-parametric methods (e.g., chi-square tests). Students gain the knowledge and skill to be able to analyze and apply statistics to research problems and everyday life situations.
STAT 3401 - Statistics for Data Analytics (5 credits)
5 credits
Statistical analysis is a key information technology tool. Quality assurance, data mining, and performance monitoring all employ extensive statistical analysis. Other applications incorporate various aspects of probability and statistics. This course provides students with an introduction to statistics for data analytics. Within an analytics framework, students synthesize theory with practical applications to learn the fundamentals of statistical reasoning, and the use of numeric and graphical descriptive statistics, statistical comparison, correlations, and other methods. Throughout, students also have the opportunity to use statistical software to solve problems.
Prerequisites
- MATH 1030 or MATH 1040