| Week | Planned Lecture Topic | Readings | PowerPt Slides |
| 1 | Course procedures. Statistical Overview, Graphs, and Distributions. |
Sections 1.1, 1.2, and 1.3 (start) |
Week1.zip Ex 1.26 (SAS) Histograms in Excel |
| 2 |
The Normal Dstn, Scatterplots, Correlation and Regression. |
Sections 1.3 (finish), 2.1- 2.5 |
Week2.zip Drawing Normal Curves |
| 3 |
Continuation of Week 2 Topics | Chapter 2 | Week3.zip |
| 4 |
Correlation & Regression (completion) |
Complete Chapter 2 | Week4.zip Midterm Exam |
| 5 |
Midterm Q & A Midterm Exam Apr 25 (6-9pm) |
Weeks 1 to 4 | |
| 6 |
Regression, Binomial Dstn, Normal Approxima- tion to the Binomial |
Section 2.3 Chapter 5 |
Week6.zip Regression Example Binomial Example |
| 7 |
Dstn of the Sample Mean Confidence Intervals, Significance Tests |
Sections 5.2, 6.1-6.3 (start) |
Week7.zip |
| 8 |
Confidence Intervals, Significance Tests Hypothesis Testing (population mean, 1-sample) |
Sections 6.1-6.3 (finish), 7.1 |
Week8.zip |
| 9 |
Hypothesis Testing (population mean, 2-sample) |
Section 7.2 |
Lec19.ppt |
| 10 |
Hypothesis Testing (2-sample t-test) |
Section 7.2 | |
| 11 |
Final Exam June 6 (6pm-9pm) |
Comprehensive, with emphasis on material since midterm. |
. . . |
The textbook is Introduction to the Practice of Statistics (5th
Edition),
Moore and McCabe (W.H. Freeman, 2006).
G. Andrus