I will post them here in Adobe's portable document format (pdf) as they evolve. I will try to make notes available a few days before the corresponding lecture. I recommend that you print them and bring them to the lecture. A free version of Adobe Acrobat Reader can be downloaded to your PC and used to read them. Alternatively, you can get them at Copy Central on Northside. They are copies of the slides I use in lecture and are basically outlines of what I plan to say in class, not complete transcriptions of the actual lectures. Please be patient with technological glitches and inevitable typographical errors.
|
Chapters 1 & 2: Experimental Design |
|
Chapter 3: Histograms |
|
Chapter 4: Average and Standard Deviation |
|
Chapter 5: The Normal Curve |
|
Chapters 8 & 9: Correlation |
|
Chapter 10: Regression |
|
Chapter 11: The RMS Error for Regression |
|
Chapter 12: The Regression Line |
|
Review for First Midterm |
|
Chapters 13 & 14: Chance |
|
Chapter 15: The Binomial Formula |
|
Chapters 16 & 17:The Law of Averages, the Expected Value, and the Standard Error |
|
Chapter 18: The Normal Approximation for Probability Histograms |
|
Chapter 19: Sample Surveys |
|
Chapter 20: Chance Errors in Sampling |
|
Chapter 21: The Accuracy of Percentages |
|
Chapter 23: The Accuracy of Averages |
|
Review for Second Midterm |
|
Chapter 24: A Model for Measurement Error |
|
Chapter 26: Tests of Significance |
|
Chapter 27: More Tests for Averages |
|
Chapter 28:The Chi-Square Test. |
|
Chapter 29: A Closer Look at Tests of Significance |
|
Quick Review |