DEPARTMENT OF STATISTICS
STATISTICS 3910 - Statistical Software Design
Statistics 4910 - Advanced Statistical Software Design
WINTER 2002
Lecture: Th
Instructor: Prof. Eric A. Suess Office: ScN 319 Phone: 885-3879 e-mail: esuess@csuhayward.edu
Office Hours: Th
Class Web-page: http://www.sci.csuhayward.edu/~esuess/
Required Texts:
Recommended Texts:
Material To Be Covered: In
this course the use of statistical software will be emphasized to implement
basic statistical analysis techniques such as Graphical and Numerical
Descriptive Statistics, Correlation and Regression, Logistic Regression,
Confidence Intervals, Hypothesis Testing, and Analysis of Variance. As an area of focus Times Series and
Forecasting methods will be discussed.
Time Series methods will be presented such as Decomposition Models,
Exponential Smoothing, Box-Jenkins ARIMA Models, Seasonal ARIMA Models, and
Autoregressive Error Models. Statistics
3910 students will primarily use SPSS and Statistics 4910 students will use
SAS.
Prerequisites:
Homework: Weekly homework assignments will be given each Thursday and will be collected the following Thursday. It is required that the solution to each assigned problem be prepared and edited in MS Word. Hand-written solutions will not be accepted for problems that require the use of statistical software.
Grading: Homework 30%, Project I 15%, Midterm 20%, Project II 15%, Final 20%
Policy on Make-up Exams: You are expected to take the exams at the scheduled times. In case of genuine emergency, illness or hardship, for which you can present written documentation I may agree to arrange for a make-up exam. Make-up exams must always be arranged BEFORE the regular exam is given and always take place AFTER the regular exam.