Rossman, A. and Albert, J. Activities
for Statistics: Data, Probability, and Learning from Data .
Jim Albert (email: albert@math.bgsu.edu)
What is data and why do we collect it?
Types of variables: categorical and measurement.
Table of counts and proportions.
Bar graph.
Dotplots.
Stemplots
Shapes of data
Grouped count tables and histograms
The mean.
The median.
The standard deviation.
The 68-95-99.7 rules.
The quartiles.
The five-number summary.
Measure of relative standing.
Comparing groups using stemplots and boxplots.
Looking at the data using a scatterplot.
Review of lines.
Finding a best line using a string.
Least squares line.
Prediction.
Constructing a contingency table.
Marginal counts.
Conditional row proportions .
Stacked bar graph.
Conditional column proportions.
Parameters and statistics.
Simple random samples.
Tables of random digits.
The relative frequency view
The subjective view
Measuring probabilities by means of a calibration experiment
Interpreting odds
Basic probability rules
Listing all possible outcomes (the sample space)
Equally likely outcomes
Constructing a probability table by listing outcomes.
Constructing a probability table by simulation
Probabilities of "or" and "not" events.
An average value of a probability distribution
Understanding a two-way table of probabilities
A Bayes' box: counts categorized by models and data
Learning about a proportion
Summarizing a posterior distribution