Statistics 3601 and 5601 Introduction to Probability and Statistics for Engineers and Scientists Fall Quarter 2005

Who to Contact
Instructor: Dr. Rodney Wong
    Office:  243 North Sciences Hall
 Office Hours:   TuTh 2:30pm - 4:00 pm 
    Email:   rodney.wong@csueastbay.edu

Course Information	Links
Course Syllabus	Course Schedule
Final Exam (Tuesday December 6)	R Website
Download Free Acrobat Reader	Datasets

 
Course Material

Homework Nothing Here	Chapters 1-5 Chapter 5 Joint Probability Distributions Chapter 4 Uniform Random Variable as example of Continuous Random Variable Chapter 3 Mean, Variance, and Std. Dev. for Discrete Random Variables Chapter 3 Binomial Random Variables Chapter 3 Geometric Random Variables Chapter 2 Bayes Rule Chapter 2 Conditional Probability and Multip Rules Chapter 2 Event and Set Language Chapter 2 Probability Axioms and Rules Chapter 2 Probability Definitions
Chapters 6-9 Chapter 8 and 9 Test and Confidence Interval for a single Population Proportion Chapter 9 Test for a single Population Mean Chapter 9 Significance Level and Power Chapter 9 Null and Alternative Hypotheses, p-values Chapter 8 Student's t-distribution Chapter 8 Confidence Interval for Population Mean from Single Sample Chapter 7 Sampling Distribution of Sample Means Chapter 7 Method of Moments and Maximum Likelihood Estimation Chapter 7 Unbiased Estimators and Mean Square Errors Chapter 6 QQ Plots and Normal Scores Chapter 6 Standard Deviation and Variance Chapter 6 Five No. Summary and Boxplots Chapter 6 Descriptive Statistics	R Notes Getting Started in R Importing Files in R Simple Examples of R programs History of R Introduction to R (Phil Spector) Introduction to R (Venables and Smith and R Core Dev. Team)
Supplements Bootstrap Standard Errors and Confidence Intervals using R software Bootstrap Confidence Intervals (Moore and Hesterberg) Exponential Random Variable Normal Random Variable Poisson Random Variable Negative Binomial Random Variable Binomial Random Variable Geometric Random Variable	Project Project 3 (due Thursday December 1) Project 2 Help Project 2 (due Tuesday November 15) Project Report Guidelines Project 1 (due Thursday October 13)