STAT 310
Modelling and Data Analysis
This course introduces students to models, design and analysis of small to medium-sized experimental data using software. Students will design single-factor and factorial experiments as well as analyze the effect of each factor and the interaction among factors. Statistical methods such as t-tests and ANOVAs will be used to analyze data. Simple and multiple linear regression models will be used to make predictions and analyze relationships between variables. Students will gain hands-on experience applying these techniques to data from disciplines such as social sciences, life sciences, physical sciences, economics, education, and engineering. Section information text: <strong>Course Description: </strong>This course introduces students to models, design and analysis of small to medium-sized experimental data using software. Students will design single-factor and factorial experiments as well as analyze the effect of each factor and the interaction among factors. Statistical methods such as t-tests and ANOVAs will be used to analyze data. Simple and multiple linear regression models will be used to make predictions and analyze relationships between variables. Students will gain hands-on experience applying these techniques to data from disciplines such as social sciences, life sciences, physical sciences, economics, education, and engineering.<br/><strong>Note: </strong>STAT 310 is an approved Numeracy course for Cap Core requirements. STAT 310 is an approved Science and Technology course for Cap Core requirements. STAT 310 is an approved Science course. STAT 310 is an approved Quantitative/Analytical course for baccalaureate degrees.<br/><strong>Reg Notes: </strong> In person. This section has specific meeting times as displayed.<br/><strong>