Dozens of statistical terms are defined and illustrated in this glossary.

The purpose of this task is to assess a student's ability to compute and interpret an expected value. Notice that interpreting expected value requires thinking in terms of a long-run average. Students will help Bob the bagel man find the...

The concept of modeling sequences of random events using states and transitions between states became to known as Markov Chains. Introduction to Markov chains. Created by Brit Cruise.

A set of exercises where students must analyze statistcal data and methodology and answer questions about distributions, sampling, results, accuracy, frequency, experimental design, and ethical practices.

The video series shows students the relevance of statistics in real-world settings. The resource includes 26 half-hour videos. Topics include normal distributions, probability, random variables, experimental design, and describing data.

In this video segment from "Cyberchase", the CyberSquad determines the fairness of a game in which there are three shapes distributed equally on nine squares. Uses popups, two minutes and 13 seconds.

Definitions of the basic concepts in statistics. Great for review and discussion or for introduction into topics.

This is a comprehensive online text about statistics which covers all the basic concepts.

The topic summary outlines Markov systems. Some topics reviewed are expected number, distribution vectors, and transition probability. The resource consists of definitions, notes, and examples.

The list editor provides a means for viewing, editing, and working with data lists. Students can explore distributions, tests, intervals, multiple regression, random sampling, goodness of fit and inferential statistics.

The topic summary outlines random variables and statistics. Some topics reviewed are normal distribution, Bernoulli trials, measures of central tendency, and variance. The resource consists of definitions, notes, and examples.

The mathematics resource uses a downloadable java applet to simulate the outcome of a product of random numbers. Examples of multiplicative processes include the distributions of incomes and rainfall.

The concept of random variables comes to life with this Applet used to roll one, two, six, or nine dice. The user selects the number of rolls to be completed, and the program quickly counts and graphs the results.

An activity where students toss a set of tacks one hundred times and plot how many land on their sides each time. They then calculate the mode, median, and mean.

In this activity, students will explore the Law of Large Numbers. By examining unfair models, they will expand their understanding of probability. They predict the weighting of an unfair model by analyzing experimental data and...

A famous arcade in a seaside resort town consists of many different games of skill and chance. In order to play a popular "spinning wheel" game at Fred's Fun Factory Arcade, a player is required to pay a small, fixed amount of 25 cents...

Students develop a better intuitive understanding of what is meant by variability in statistics. Emphasis is placed on the standard deviation as a measure of variability.

In this video segment from Cyberchase, the CyberSquad determines the fairness of a game in which there are three shapes distributed equally on nine squares.

Students learn about Bernoulli trials and binomial random variables. The tutorial investigates the statistics concepts through class notes and examples. Review exercises and a chapter quiz are included.

Explore color distribution of M&M candies using this detailed lesson plan. An engaging integrated lesson that requires understanding of spreadsheets and formulas, and logical reasoning. Links to related websites.

What happens when an electron is trapped in a one-dimensional box? Take a look at these theories and equations applied to examples which can be illustrated this way.

The purpose of this student task is to develop understanding of standard deviation. Aligns with S-ID.A.2 and S-ID.A.3.

Explore the bell-shaped curve and how to calculate a z score. Additional links provided to further knowledge on outliers.

Richland College provides a step-by-step procedure on how to use a TI-82 to construct histograms and box plots and then use this to find frequency distribution.