Probability: How Certain Are You? Mathematics Instructional Plan
Probability: Spinning Color
Probability: Sweet as Candy Mathematics Instructional Plan
Unfair game using number cubes; Determine probability of outcomes using sample space - Algebra Readiness Remediation Plan
Create sample space for probability experiment - Algebra Readiness Remediation Plan
Build understanding of sample space and how it relates to theoretical probability - Algebra Readiness Remediation Plan
Comparing experimental and theoretical probability - Algebra Readiness Remediation Plan
It's Your Lucky Day Task Template, Student Version of Task, Anchor Papers and Scoring Rationale
Probability Mathematics Instructional Plan
Analyzing probability of events through Venn diagrams - Mathematics Instructional Plan
Differentiate between type of events - Mathematics Instructional Plan
Calculate probabilities - Mathematics Instructional Plan
Calculate probabilities - Mathematics Instructional Plan
Normal Distribution - Mathematics Instructional Plan
Understanding Normal Distribution - Mathematics Instructional Plan
Apply Properties of Normal Distributions to Determine Probabilities Associated with Areas Under the Standard Normal Curve - Mathematics Instructional Plan
Formative Assessment - Apply properties of normal distributions to determine probabilities associated with areas under the standard normal curve - Just in Time Quick Check, Teacher Notes, and Supporting Resources
This resource consists of a Java applet and expository text. The applet is a simulation of the ballot experiment: The votes in an election are randomly counted. The event of interest is that the winning candidate is always ahead in the vote count.
This resource consists of a Java applet and expository text. The applet is a simulation of Bertrand's experiment: a random chord on a circle The event of interest is whether the length of the chord is larger than the length of the inscribed equilateral triangle. Three models for generating the random chord can be used.
This resource consists of a Java applet and expository text. The applet illustrates Bayesian estimation of the probability of heads for a coin. The prior beta distribution, true probability of heads, and the sample size can be specified. The applet shows the posterior beta distribution.