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Statistics

Exploratory Analysis	Research Methodology
Normal Distributions	Probability and Randomness
Least Square Regression Lines	Binomial and Geometric Distributions
Sampling, Surveys, Census and Experiments	Confidence Intervals and Tests of Significance
Other Great Links	Workshop Statistics

Exploratory Analysis

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	Simpson's Paradox
	How To Lie With Graphs
	Histogram Students can view histograms for either built-in or user-specified data, and experiment with how the size of the class intervals influences the perceptions. Parameters: Data sets, class sizes.
	PieChart Students view piecharts. Parameters: Number of sectors, size of sector as a percent.
	Circle Graph Enter data categories and the value of each category to create a circle graph. Similar to "Pie Chart" but the user can define the data set.
	Bar Graph Enter data to create a bar graph, then manipulate the graph's maximum and minimum values.
	Stem and Leaf Plotter Students view stem-and-leaf plots of their data, and then get to practice finding means, medians and modes. Parameters:Data.
	Box plot 1 Students can create box plots which DO use the median in calculating the interquartile ranges for either built in or user-specified data as well as experiment with outliers.
	Boxplot 2 Students can create box plots which DO NOT use the median in calculating the interquartile ranges for either built-in or user-specified data as well as experiment with outliers.
	Measures Students enter data and view the mean, median, variance and standard deviation of the data set. Parameters: Number of observations, range for observations, which statistics to view, identifiers for the data.
	Peanut Butter Fathom File

Normal Distributions

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Normal Distribution Students can change the standard deviation of the graphed normal distribution to create a new distribution, allowing them to observe properties like how well the histogram fits the curve and how areas under the curve correspond to the probability that a number is selected. Parameters: standard deviation, number of trials, class intervals.

Skew Distribution Students can change the median standard deviation of the graphed normal distribution to create a skewed distribution, allowing them to observe properties like what it means for the mean, median, and mode to be different. Parameters: median, standard deviation, number of trials, class intervals.

Least Square Regressions Lines

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Geometer's Sketchpad LSRL Applet

Samples, Surveys, Census, and Experiments

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	Nielson Media - How do TV rating systems work?
	Statistical Abstract of the United States - US Census
	The Gallup Organization
	Forest for the Trees Blocking Activity

Research Methodology

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	Interests, Ideas, Theories Powerpoint
	The Structure of Inquiry Powerpoint
	Ethics in Research Powerpoint
	Cola Experiment Powerpoint

Binomial and Geometric Distributions

Sampling Distributions

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Confidence Intervals and Tests of Significance

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Rice Virtual Lab in Statistics

Sampling Distributions (applet)

Normal Approximation to the Binomial Distribution (applet)

Confidence Intervals (applet)

Type I and II Errors

	An Analogy with the Justice System
	The Central Limit Theorem

Probability and Randomness

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	Let's Make a Deal
	Understanding Experimental Probability Experiment with experimental probability using a fixed size section spinner, a variable section spinner, 2 regular 6-sided number cubes or design your own number cubes. Appropriate for elementary grades.
	Two Colors Applet Students choose between three boxes and choose one marble from the box to look at conditional probabilities. Parameters: Number of trials.
	Marbles Students learn about sampling with and without replacement by modeling drawing marbles from a bag. Parameters: Number and color of marbles in the bag, replacement rule.
	Simple Monty Hall Students choose one of three doors to experimentally determine the odds of winning the grand prize behind one of the doors, as in the TV program "Let's Make a Deal." Parameters: Staying or switching between the two remaining doors.
	Stock Exchange Students learn about expected value and payoff for an event that will occur with a known probability, by playing a game in which the payoff is earnings from stocks. Parameters: Probability of receiving cash, cash amounts, number of trials.