Stat 401A - Copies of graphs, pictures, and handouts shown during lecture and lab

• Lecture on 8 Jan
  • Tables from Svedberg 1922
  • Tables from a 2010's paper
• Lab on 10 Jan
  • Quick comparison of JMP, R, and SAS software
• Lecture on 12 Jan
  • histograms of your rocks and paper estimates
    • "Best" single rock weights
    • Average of five "Best" rock weights
    • Average of 7 randomly chosen paper values
  • 1969-1972 draft lottery
    • 1969 draft lottery randomization method
    • end of year birthdates tend to lower draft numbers
    • 1972 draft lottery randomization method
• Lecture on 19 Jan
  • Randomization distribution for tomato yield data
• Lecture on 22 Jan
  • Samples from bank salary population
  • Standard error of the mean, bank salary population
• Lecture on 24 Jan
  • Numbers for standard error examples
  • Normal and T distributions with 60, 5, and 2 df
  • Comparison of T and randomization distribution: creativity data
  • Comparison of T and randomization distribution: tomato data
• Lecture on 26 Jan
  • 95% Confidence intervals from random samples
  • 99.9% Confidence intervals from random samples
• Lecture on 29 Jan
  • Dot plot of Schizophrenia data
  • Dot plot of Schizophrenia data, with lines for pairs
  • Two examples of paired data
  • Box plots of observations in "Two examples"
  • Box plots of differences in "Two examples"
• Lecture on 2 Feb
  • Normal QQ plots for creativity and hamburger residuals
• Lecture on 5 Feb
  • Normal QQ plots simulated data. All normal. 4 with 20 observations; 4 with 200 observations.
  • Plots illustrating why you can't tell independence from just the numbers.
• Lecture on 9 Feb
  • Pictures illustrating independence and lack of independence
  • Box plots of hamburger CFU and log CFU.
  • Challenger o-ring data
• Lecture on 14 Feb
  • Dot plots of ratio and log ratio, schizophrenia in twins data
  • Boxplots of diet and longevity study data

• Lecture on 16 Feb
  • Treatments in the diet and longevity study
  • Plot illustrating equal means (red) and separate means (blue) models for the diet data
  • Plot illustrating equal means (red) and separate means (blue) models for 6 sets of randomly generated data. In all 6 cases, the true model is equal means.

• Lecture on 21 Feb
  • Residual Plots for Diet study and CCK enzyme activity data The CCK study is exercise 25 in Chapter 5 (2nd ed. only).
  • Residual Plots for CCK enzyme activity data Top panel is analysis of raw data; bottom is analysis of log transformed data.
  • Boxplot of data from handicap study. Case study 6.1

• Lecture on 28 Feb:
  • Flowchart showing reasons why subjects excluded. One example of something required by the CONSORT document.
  • Link to CONSORT statement web site Reporting standards for for human trials, including nutrition
  • Link to Meridian web site Collects reporting standards for for research on animals. Includes links to Arrive, Reflect and others.

• Lecture on 2 Mar:
  • Plot of meat pH over time
  • Plot of aflatoxin concentration vs % clean peanuts

• Lecture on 7 Mar:
  • Galton 1886 title page
  • Galton's data
  • Galton's prediction machine

• Lecture on 7 Mar:
  • Peanut data plots plots of y vs x, y vs shifted x, confidence interval for y given x, prediction interval for y given x

• Lecture on 19 Mar:
  • Galton's regression lines
  • Residual plots

• Lecture on 21 Mar:
  • Lack of fit plots
  • Correlation and choice of X

• Lecture on 23 Mar:
  • Brain weight scatterplot matrix Untransformed variables.
  • Brain weight scatterplot matrix Log transformed variables.
  • Brain weight: simple linear regression on log litter
  • Brain weight: multiple linear regression on log body and log litter

• Lecture on 28 Mar:
  • Plot of historical corn yield vs rainfall
  • Residual plots for linear and quadratic models

• Lecture on 30 Mar:
  • Picture of a grandfather clock
  • Scatterplot matrix of data
  • Age and # bids, with price contour
  • Price and age, with colored # bids
  • Price and age, with 2 lines
  • Price and age, with interaction fit
  • Field of meadowfoam
  • White meadowfoam flower

• Lecture on 2 Apr:
  • meadowfoam data
  • meadowfoam data with additive model fits
  • meadowfoam data residuals
  • meadowfoam data with interaction fits

• Lecture on 4 Apr:
  • Plots of Anscombe data sets
  • Residual plots for Anscombe data sets
  • Cooks Distance plots for Anscombe data sets
  • Std errors of predicted values and residuals

• Lecture on 9 Apr:
  • Pairwise plot of pace of life data with jog

• Lecture/Lab on 11 Apr:
  • Model selection results for SAT data set
  • Model diagnostic panel for SAT data

• Lecture on 16 Apr:
  • Collard study, as 4 treatments
  • Collard study, as 2 way factorial, version 1
  • Collard study, as 2 way factorial, version 2

• Lecture on 18 Apr:
  • Residual plots to illustrate blocking
  • Aerial photo of field plots

• Lecture on 23 Apr:
  • Donner Party survival data
  • Donner Party, predicted log odds
  • Donner Party, predicted survival probability
  • Donner Party, residual vs predicted value plot