Topic Reading Comment
Week 1 Lab 1 Introduction to the lab
1. Introduction 1.1 Statistics is the science of dealing with data.
2. Graphical Summaries  1.2-1.5 Graphical techniques to help organize and summarize data
3. Numerical Summaries (Centers) 2.1-2.2 Numerical techniques that capture essential aspects of the data: the "typical" value.
Week 2: Lab: Graphical Descriptions  
4. Numerical Summaries (Spread) 2.3-2.5 Numerical measures of how spread out the data are.
5. Collecting Data I: Experimental Design 6.1, 6.2 The data are only as reliable as the study that produced them.
6. Collecting Data II: Sampling 6.3-6.4 Designing surveys: easier said than done.
Week 3 Lab: Numerical Descriptions  
7. Relations between variables 3.1-3.2 Describing the strength of a two-variable relationship
8. Least Squares Line 3.4, 3.5 A numerical summary of a "cloud" of data
9. Interpreting LS LInes 3.6 Correlation does not imply causation!
Week 4 Lab: Correlation and Regression  
10. Experimental vs. Theoretical probabilities 4.1,4.2 A tool for making inferences
11.Probability Models 4.2  
12. Simulation 4.3,4.4 A technique to create experimental probabilities to estimate theoretical probabilities.
Week 5: Lab: Review  
13. Midterm 1    
14. The Expected Value or Mean 5.1,5.2 Similar to, but not the same as, the average.
15. Standard Deviation of Random Variables 5.3 Not the same as the sample standard deviation
Week 6: Lab: Categorical Data  
16. (may 7)
Standard deviation, binomial  RVs
9.2, 9.3
17. binomial, uniform, and normal pdfs 9.3, 9.6, 9.7,9.8
18. applications of normal curve, intro to hypothesis testing 9.8, 9.9,7.1, 7.2
Week 7 Lab: TBA
19. testing proportions 7.3
20. Chi-square test 8.1-8.3  
21. Using the chi-square test 8.4-8.7  
WEEK 8
22. Confidence Intervals for Mean of a population 11.1  
23. More Confidence Intervals 11.5  
24. THE T-TEST 12.1-12.2
Week 9: Lab: Review  
25. Holiday    
26. Comparing 2 means 12.3  
27. Midterm 2    
Week 10: Lab: Review  
28. Comparing two means (independent)  12.3  
29. Comparing two means proportions revisited  12.6  
30. Review    

Final: June 15, 11:30-2:30

Notes: This schedule is only approximate. Some topics might take longer, or less time, than accounted for above. The reading assignments give the general sections in which the information is covered in the text.

The lab schedule is quite tentative. Some labs might take more time to complete. Check the web page and ask me in class if you are not sure which lab is assigned in a current week.