Khan Academy
Khan Academy: Sample Spaces for Compound Events
Practice interpreting diagrams and sample spaces to find the probability of outcomes.
Texas Instruments
Texas Instruments: Cannibal Critters and Cannibal Critters Cont.
Students will explore probability and statistics using predictions and histograms. Theoretical and experimental probability will also be examined.
![Pbs Mathline: Remove One Lesson Plan [Pdf] Lesson Plan](https://d15y2dacu3jp90.cloudfront.net/images/attachment_defaults/resource/large/FPO-knovation.png "Pbs Mathline: Remove One Lesson Plan [Pdf] Lesson Plan")
PBS
Pbs Mathline: Remove One Lesson Plan [Pdf]
Students play a game involving chips, dice, and a number line to explore the outcomes of events. Printable lesson plan.
PBS
Pbs Learning Media: When Does 50 50 Become 50 50?
In this video segment from Cyberchase, Bianca goes on a quest to find out if a coin toss really is a 50-50 proposition.
Estrella Mountain Community College
Estrella Mountian College: Introduction to Genetics
This site explains genetic beliefs before and after Mendel, and also includes a section on Mendel himself and his experiments, entitled, "The Monk and his Peas".
University of Hamburg
University of Hamburg: Deviations From Mendelian Laws And: What Is the Meaning of Dominance?
Upper level discussion of several of Mendel's experiments and laws.
CK-12 Foundation
Ck 12: Interactive Middle School Math 7 for Ccss
A complete CCSS Grade 7 Mathematics course that includes interactives in every lesson, plus videos, hands-on activities, and questions with immediate feedback. Every lesson also has specifically chosen 'Related Modalities' that teach the...
University of Colorado
University of Colorado: Z Scores Applet
The Applet assists the user in questions which specify a probability and ask for the relevant range of raw scores or z scores. The program will also transform from raw to z scores and back again, if needed.
Texas Instruments
Texas Instruments: The Normal Distribution
Students graph normal distributions, shade desired areas, and find related probabilities. They graph Normal probability scatter plots to check the normal (linear) shape of a data distribution.
Khan Academy
Khan Academy: Making Decisions With Expected Values
Calculate expected values and then use them to make decisions. Students receive immediate feedback and have the opportunity to try questions repeatedly, watch a video or receive hints.
Other
West Virginia University: Normal Distribution
The history of the normal curve and its use in statistics is presented. An Applet is provided for the user to adjust the left and right edges of the probability and see the effect on the area under the curve.
Texas Instruments
Texas Instruments: Numb3 Rs: Is It Really Rare?
Based off of the hit television show NUMB3RS, this lesson introduces students to the Poisson Distribution to determine the probability of events happening a certain number of times in a given time period. The lesson is framed in the...
Stefan Warner and Steven R. Costenoble
Finite Mathematics & Applied Calculus: Uniform Distribution
Students learn about probability density functions and uniform distributions. The tutorial investigates the statistics concepts through class notes and examples. Review exercises are included.
Palomar Community College District
Palomar College: The Normal Curve an Example
A collection of step-by-step worked problems demonstrating how to take a normal curve and determine the probability (area) under it. Hints are provided along the way and the final measures are shown for the user to check.
Other
Fayetteville State University: Z Distributions
The introductory paragraph explains Z-Distributions, their spread, and the ability to find certain values within the distribution. Two animated graphs are then provided as an example of the probability of the normal distribution curve.
Web Center for Social Research Methods
Research Methods Knowledge Base: Sampling in Research
Site discusses the use of sampling in research. The key statistical terms used in sampling are linked for the user to quickly find definitions. The major concepts of probability and nonprobability are also highlighted.
Stefan Warner and Steven R. Costenoble
Finite Mathematics & Applied Calculus: Random Variables and Distributions
Students examine random variables and distributions. Topics explored are probability distributions, and discrete and continuous random variables. The tutorial investigates the statistics concepts through class notes and examples. Review...
Stefan Warner and Steven R. Costenoble
Finite Mathematics & Applied Calculus: Bernoulli Trials and Binomial Random Variables
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.
Illustrative Mathematics
Illustrative Mathematics: S cp.a.1, S cp.a.4, and S cp.b.6: The Titanic 1
On April 15, 1912, the Titanic struck an iceberg and rapidly sank with only 710 of her 2,204 passengers and crew surviving. Data on survival of passengers are summarized in the table below. (Data source:...
California State University
Cal State San Bernardino: Intro to Probability Models
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.
University of Glasgow
Steps Statistics Glossary: Sampling Distribution
This site provides an overview of sampling distribution and associated terms.
Other
Berrie's Statistics Page: Central Limit Theorem
Brief definition and example of the Central Limit Theorem.
Texas Instruments
Texas Instruments: Using the Ti 83/84 to Explore the Binomial Theorem
This lesson will introduce students to the binomial theorem through a variety of activities. Pascal's triangle and probabilities will be explored through problem solving. The binomial theorem, combinations formula, and the binomial...
Texas Instruments
Texas Instruments: What Are the Chances?
In this activity, students determine the probability of a spinner landing on a certain number in eleven trials. They also learn to change the weightage and find subsequent effect on the probability.