704—Data Analysis I (3) (Prereq or coreq: STAT 712) Primarily for graduate students in statistics and the mathematical sciences. Probability concepts, inferences for normal parameters, regression, correlation, use of computer statistical packages.
Usually Offered: Fall Semester
Purpose: To provide an overview of normal-model inference and a strong background in regression modeling.
Applied Linear Statistical Models , (5th edition), Kutner, Nachtsheim, Neter, and Li. McGraw-Hill/Irwin, 2005.
|Random Variables, Expected Value, Variance, and Covariance
Normal distribution and other sampling distributions
|Single-sample models, t-based inference, and nonparametric alternatives||
|Simple Linear Regression and Correlation||
|Logistic Regression and Count Regression||
The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check the current course homepage or with the instructor for the course regulations, expectations, and operating procedures.
Contact Faculty: David Hitchcock, Tim Hansen