Biology 300 Lecture Overheads for Spring 2012 (Irwin)

Note: These overheads will evolve as the course progresses. I do my best to post them as early as possible, using material presented in previous years. I often make a number of last-minute changes to lectures, so there will be some differences between these PDF files and the material actually presented in lecture. If this is disconcerting to you, please disregard these files and take your own lecture notes.

Note that the Chapters below refer to those in the textbook (Analysis of Biological Data, by Whitlock & Schluter). It is best to read each chapter just before we cover it in lecture.

Chapter 1: Intoduction to statistics

Chapter 2: Graphics

Chapter 3: Describing data

Chapter 4: Estimating with uncertainty

Optional links: To read more about the relationship between school size and the mean and variance of test scores, and the effort of the Gates Foundation to decrease school size, click here, here, here, and here.

Chapter 5: Probability

Chapter 6: Hypothesis testing

Chapter 7: Analyzing proportions

Chapter 8: Fitting probability models to frequency data

Chapter 9: Contingency analysis

Chapter 10: The normal distribution

Chapter 11: One-sample inference

Review of first half

Chapter 12: Two-sample inference

Chapter 13: Violations of assumptions

Chapter 14: Experimental design

Chapter 15: ANOVA

Chapter 16: Correlation

Chapter 17: Regression

(Ch. 18 not covered in this course)

Chapter 19-21: Modern advances

Final review

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