Examines methods for quantitative data analysis. Uses current software packages to model data. Topics vary with instructor and may include probability, surveys, regression techniques, forecasting and time series, decision-making, or spatial analysis and data maps. Recommended: previous coursework in quantitative methods such as BIS 315 or BIS 312.
Spring 2011 The topics covered will be the following: 1)hypothesis testing for equality of means 2)simple and multiple regression 3)ANOVA analysis 4)Bootstrap techniques
Student learning goals
Students should know what each of the statistical techniques measure and how to apply them in real life situations. The computer will be used extensively, with statistical packaged software. The students should have a beginning sense when the techniques are appropriate.
General method of instruction
Lectures with team exercises during class
BIS 315 or equivalent statistics class.
Class assignments and grading
There will be 6-7 homework assignments based on readings in the textbook. Two quizzes will be given, and there will be a final project in lieu of a final.
Grades will be determined using the homework scores, the quiz scores, the final project score, and class participation.