In this activity, students use simulation to justify the concept of the Law of Large Numbers. They understand that as the sample size increases, the relative frequency of which an event occurs approaches the probability of that event...

Learning module focuses on measures of variability such as range, variance, and standard deviation which are used to examine nitrate levels and water quality.

Learning Objectives cover the areas of the Measures of Variability. Explanations are given for: variability, range, interquartile range, variance, and standard deviation. Examples and quizzes are also provided.

Students demonstrate advanced mathematics skills with this online quiz. The questions check understanding on measures of variability. Topics include variance, standard deviation, and frequency tables.

Find the z-score of a particular measurement given the mean and standard deviation. Students receive immediate feedback and have the opportunity to try questions repeatedly, watch a video or receive hints.

This exploration uses baseball's slugging average to explore variance and standard deviation.

An online course on the fundamentals of statistics including video lessons in Mean, Median, and Mode; Weighted Averages; Quartiles and Boxplots; Range and Standard Deviation; Normal Distribution; Z-scores; Intro to Inferential...

Enter data and view the mean, median, variance, and standard deviation of the data set.

Change the median and standard deviation of an automatically generated normal distribution to create a skewed distribution, allowing you to observe properties like what it means for the mean, median, and mode to be different.

Change the standard deviation of an automatically generated normal distribution to create a new histogram. Observe how well the histogram fits the curve, and how areas under the curve correspond to the number of trials.

This section explores the concept of sampling variability in the sample proportion. It will address the effect on the mean and standard deviation of a sample distribution as the sampling size changes.

Use this Common Core Math Standards Browser to search specific math concepts and their corresponding standards. This page focuses on Using Probability to Make Decisions. Click on the links to find lessons, activities, videos, and study...

[Free Registration/Login may be required to access all resource tools.] Understanding the mean and statistical deviations.

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

Defining mental illness takes into account several deviant behaviors. Find out what psychologists use to determine mental disorders.

In this activity, students use the Derive software to solve trigonometric equations, expressions with exponentials, and log equations. They also determine the equation of tangent and normal of a function; evaluate integrals, find area...

Students will determine the mean, median, mode and standard deviation of collected data. They will make a frequency histogram of the grouped data, both on graph paper, and on the TI 83+.

This set contains questions regarding the Central Limit Theorem. The student sees that, as the size n increases, the shape of the sampling distribution gradually approaches a normal curve, and its population standard deviation decreases.

A tutorial to understand the three central tendencies and how to find them, as well as the standard deviation of values. Offers a discussion and practice problems.

[Free Registration/Login may be required to access all resource tools.] This Concept introduces students to the some of the measures of spread commonly used, such as range, standard deviation and variance.

[Free Registration/Login may be required to access all resource tools.] Introduces students to the Central Limit Theorem. Students will learn about the Central Limit Theorem and calculate a sampling distribution using the mean and...

This is a WebQuest written by Susie Hallar of the Warrensburg Schools in Warrensburg, Missouri. Students research 10 famous baseball players, then use the information they find to compute averages, standard deviations, central...

Normal distributions come up time and time again in statistics. A normal distribution has some interesting properties: it has a bell shape, the mean and median are equal, and 68% of the data falls within 1 standard deviation.

This resource explains the different measures of center, variability, etc. that are used to describe the spread of statistical data. Includes examples and practice exercises.