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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...




http://www.causeweb.org/repository/ACT/Quant_Activity.doc



Using Your Hair to Understand Descriptive Statistics
The purpose of this activity is to enhance students' understanding of various descriptive measures. In particular, by completing this handson activity students will experience a visual interpretation of a mean, median, outlier, and the concept of distancetomean.




http://serc.carleton.edu/sp/cause/conjecture/examples/18164....



**Statistics Every Writer Should Know
This site provides an introduction to basic statistical concepts for journalists and writers with little math background. Key Words: Mean; Median; Percent Changes; Per capita; Rates; Standard Deviation; Normal Distribution; Margin of Error; Confidence Interval; Data Analysis; Sample Sizes; Statistical Tests; Student's T.




http://www.robertniles.com/stats/



IDEAL Modules
The modules in this collection discuss numerous statistical topics with examples and Java applets. Topics covered: Variable Types; Calculations; Histograms; Moments; Quantiles; Probability Definitions, Laws, and Simulations; Binomial, Poisson, and Normal Distributions, Normal Approximation to the Binomial, Central Limit Theorem, Confidence Intervals, Hypothesis Testing, Control Charts,...




https://ideal.stat.wvu.edu:8443/ideal/



Dataset Archives
The datasets on this page are classified by analysis technique (ANOVA, Linear Regression, Markov Chain Monte Carlo, Nonlinear Regression, and Univariate Summary Statistics) and by level of difficulty (lower, average, higher). They were originally intended to test statistical software.




http://www.itl.nist.gov/div898/strd/general/dataarchive.html

