Optimization modeling, simulation modeling, and data mining will also be introduced. Emphasis centers on regression analysis, modeling, time series forecasting, nonparametric methods, and statistical process control. Students will deepen their skills in data analysis and decision making under uncertainty using quantitative methods. STA 220 Introduction to Business Statistics II (3-1.5T) A Students will also learn to use computer software to analyze data. Topics include collection and presentation of data, descriptive statistics, introduction to probability theory, estimation, hypothesis testing, and linear regression. Emphasis is placed on practical application and students will learn to analyze and interpret basic statistical research. This course is designed to give students a basic understanding of descriptive and inferential statistics. STA 210 Introduction to Business Statistics I (3-1.5T) A
