Howell's Fundamentals and Seeing Statistics

This page contains suggestions for how applets from Seeing Statistics might be integrated with material in Fundamental Statistics for the Behavioral Sciences by David Howell. These are content suggestions and not display suggestions; hence, these web pages are plain. References are to the 4th Edition of Fundamentals. Contact gary.mcclelland@colorado.edu with comments and suggestions.

Chapter 4:

• Brightness Matching Experiment

Chapter 5:

• Why Divide by N-1?

Chapter 6:

• Normal Distribution and z-Scores

Chapter 9: Correlation

• Construction of scatter diagrams (9.1, p. 142-144):
  • CorrelationPoints allows user to click on a scatter diagram to add data points with the correlation coefficient automatically updated with each new point.
  • CorrGrid allows user to enter data points in a worksheet format with a scatter diagram and statistics being updated with each entry.

• Link between degree of scatter and correlation coefficient:
  • CorrelationPicture allows user to use a slider to change the degree of the scatter in the diagram and observe the corresponding change in the correlation coefficient. There are versions with and without the regression line superimposed on the data.
• Factors that affect the correlation:
  • RangeRestrict allows user to move sliders to restrict the range on a scatter plot with the old and new correlations being displayed.
  • I have some thoughts about how to make an applet to illustrate the problem of heterogenous subsamples discussed on pp. 156-158.
  • Gary, I would be interested in hearing your ideas on heterogeneous subsamples.

• Predicting Y allows you to use a slider to vary the value of X and read off the predicted value of Y. You can then change the slope and intercept and notice the changes that these actions produce.

• Finding the best fitting line

• Testing the slope with t

• The t distribution under the null hypothesis

• Calculating t

Chapter 12

Comments to: Gary.McClelland@Colorado.edu
File: