Lecture notes for lecture 1 (Cecile Ane)

• Reading: paper on High cost quality foods and paper on social evaluation by preverbal infants. Link to movies for experimental design.
• 2-page summary of the various tests seen in this course.
• Categorical data (chi-square tests) and regression: Chap. 13 and 14.
  Data set for regression: chick mass.
• Anova and multiple comparisons: Chap. 11 and 12.
  • Table of Q scores for Tukey's method.
  • 2007 paper about error bars in biology: here
• Comparing two samples. Also includes boxplots. Chap. 10.
• Confidence intervals,assessing assumptions, power and sample size determination: Chap. 7 through 9
  • R code to simulate repeated experiments and see how many confidence intervals get it right. Just copy and paste into an R session.
  • R code to simulate data from various distributions, and see what the normal probability plot looks like.
  • handout on data transformations, which might be used on samples that don't seem to follow a normal distribution.
• Significance testing for one sample: Chap. 6
• The binomial, normal, and sampling distributions: Chap. 4 and 5:
• Probability and Random Variables: Chap. 3
  R file shown in lecture, and corresponding damselfly data set.
• Introduction and descriptive statistics: Chap. 1 and 2