# richtext

• ### **Inference for Means Activity

This activity enables students to learn about confidence intervals and hypothesis tests for a population mean. It focuses on the t-distribution, the assumptions for using it, and graphical displays. The activity also focuses on how to interpretations a confidence interval, a p-value, and a hypothesis test.

• ### Quantitative Data Activity

This activity explains the important features of a distribution: shape, center, spread, and unusual features. It also covers how to determine the difference between mean and median, and their respective measures of spread, as well as when to apply them to a particular distribution. Graphical displays such as: histograms and boxplots are also introduced in this activity. The corresponding data set for this activity is found at the following web address: http://www.causeweb.org/repository/ACT/food.txt

• ### Regression Activity

This activity focuses on basic ideas of linear regression. It covers creating scatterplots from data, describing the association between two variables, and correlation as a measure of linear association. After this activity students will have the knowledge to create output that yields R-square, the slope and intercept, as well as their interpretations. This activity also covers some of the basics about residual analysis and the fit of the linear regression model in certain settings. The corresponding data set for this activity, 'BAC data', can be found at the following web address: http://www.causeweb.org/repository/ACT/BAC.txt

• ### Data Collection: Quantitative Environmental Learning Project Data Set #50

This dataset contains information on temperature, precipitation, and weather stations for 48 states. The data is available in Excel and rich text formats.
• ### Cartoon: Doctor Placebo

A cartoon to teach about the use of placebos in experiments. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.

• ### Quote: Poincare on Chance

Chance is only the measure of our ignorance. A quote from French mathematician and physicist Jules Henri Poincare (1854 - 1912) found in "The Foundations of Science", page 395, The Science Press, 1913. The quote also appears in "Statistically Speaking: A dictionary of quotations" compiled by Carl Gaither and Alma Cavazos-Gaither.

• ### Quote: Asimov on Measurement

... we must remember that measures were made for man and not man for measures. a quote of popular science and science fiction author Isaac Asimov (1920 - 1992) in "Of Time and Space and Other Things" page 143, Avon Books, 1965. The quote also appears in "Statistically Speaking: A dictionary of quotations" compiled by Carl Gaither and Alma Cavazos-Gaither.

• ### Primer on Probability, Odds and Interpreting their Ratios

This lecture example discusses calculating chance with probabilities (a ratio of occurrence to the whole) or odds (a ratio of occurrence to nonoccurrence). It presents a clinical example of measuring the chance of initiating breastfeeding among 1000 new mothers. Tables are provided in pdf format.
• ### Primer on Type I and Type II Errors

This lecture example discusses type I and type II errors as they apply in a clinical setting.
• ### Primer on 95% Confidence Intervals

This lecture example reviews the concept of CIs and their relationship to P values. Tables are provided in pdf format.