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