[Free Registration/Login may be required to access all resource tools.] This Concept teaches students how to find the mean and standard deviation for discrete random variables.

Students learn about random variables and histograms. Topics explored are continuous random variables, discrete random variables, probability, and frequency distributions. The tutorial investigtes the statistics concepts through class...

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...

This set contains statistics questions regarding means and variances of random variables. The student calculates sums and differences of random variables based on their means and variances.

A PowerPoint explaining and showing examples of how to measure the mean of the values of a random variable.

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.

Students review random variables and statistics. The resource consists of review exercises on the mathematics concepts.

The online quiz assesses student comprehension of math concepts. The quiz consists of true/false questions about random variables and statistics.

Video presentation on the probability of independent events, covering related topics: multiplication rule, random variable, and mean and standard deviation. [28:41]

[Free Registration/Login may be required to access all resource tools.] This Concept introduces students to discrete and continuous variables.

Describes random variable and briefly mentions the two types of random variables: discrete and continuous.

Interactive review problems are offered to practice the concepts of random variables and statistics. Topics covered include, Bernoulli trials, normal and binomial distributions, Chebyshev's rule, and the like.

An overview of the term "discrete random variable." The site continues with the definition "continuous random variable" so that the user may compare the two.

An overview of the term "continuous random variable." The definition follows immediately after "discrete random variable" so that the user may compare the two.

This section of the Statistics Glossary offers definitions of terms having to do with random variables and probability distributions such as expected value and normal distribution.

Compute the expected value given a set of outcomes, probabilities, and payoffs. Students receive immediate feedback and have the opportunity to try questions repeatedly or receive hints.

A practice word problem asking students to calculate the mean of B in a probability chart.

Students learn about the variance and standard deviation of a random variable. The tutorial investigates the statistics concepts through class notes and examples. Review exercises and a chapter quiz are included.

Use Glencoe's randomly generated self-checking quiz to test your knowledge of using variables and evaluating expressions. Each question has a "Hint" link to help. Choose the correct answer for each problem. At the bottom of the page...

A PDF explaining and giving examples to show how the expected value of a random variable indicates its weighted average.

Use Glencoe's Math Course 3 randomly generated self-checking quiz to test your knowledge of variables, expressions and properties. Each question has a "Hint" link to help. Choose the correct answer for each problem. At the bottom of the...

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.

[Free Registration/Login may be required to access all resource tools.] Covers the variance for a normally distributed random variable.

Three activities asking students to calculate the expected value of a random variable and interpret it as the mean of the probability distribution. Tasks include Bob's Bagel Shop, Fred's Fun Factory, and Sounds Really Good! (sort of).