[Free Registration/Login may be required to access all resource tools.] Learn about the spread of a normal distribution.

Students learn about the variance and standard deviation of a set of scores. Topics explored are the empirical rule and Chebyshev's rule. The tutorial investigates the statistics concepts through class notes and examples. Review...

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.

Students learn about mean, median, variance, and standard deviation. The tutorial investigates the statistics concepts though class notes and examples. Review exercises are included.

Standard devaition and variance are explained clearly, accompanied by an examples using the size of dogs.

A series of step-by-step worked problems demonstrating how to take a set of data and produce the variance and standard. Hints are provided along the way and the final measures are shown for the user to check.

Students examine graphs of data using each of the measures of central tendency to determine when to use each in order to get a true overview of the data.

An introduction to recognizing trends and relationships in data through descriptive statistics.

Students will find solutions for a series of questions based on the assumption that SAT mathematics scores for a particular year are approximately normally distributed with a mean of 510 and a standard deviation of 100. Explanation and...

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

An interesting real-world use of statistical variance and standard deviation to help dispell the common perception that all major league baseball players are paid millions of dollars and are not worth it. The lesson plan gives specific...

This activity uses the basic M&M color activity of old to introduce students to CellSheet, CellSheet Converter, and TI-InterActive! while figuring the % Deviation for each color. If there is extra time or for a more advanced math...

Practice calculating the mean absolute deviation.

Very complete explanation of mean, standard deviation, etc. including an online calcluator for these statistics.

This is an excellent resource on what the science of statistics involves. There are all kinds of definitions, examples, graphs, and charts to learn from. The topics covered include: mode, mean, median, skewed distributions and measures...

Provides lengthy explanations of the measures of central tendencies - mean, mode, and median - and the measures of variability - range, variance, standard deviation - are given here. Graphs of interesting "side items" are presented as...

Provides lengthy explanations of the measures of central tendency - mean, mode, and median - and the measures of variability - range, variance, standard deviation. Graphs of interesting examples are presented as well, skewed...

This is a statistics calculator; enter a data set and hit calculate. Descriptive statistics summarize certain aspects of a data set or a population using numeric calculations. Examples of descriptive statistics include: mean, average,...

Should Fred receive a certificate for scoring in the top 2.5% of a statewide standardized test? Given the test scores for a large population and the mean and standard deviation, young scholars will decide if Fred's score is good enough....

Students are tasked with solving a common issue for automobile manufacturers that require the students to use normal distribution as a model for data distribution. They will also use mean and standard deviation to figure out the problem....

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

Explanation and examples of variance and standard deviation. Helpful charts and formulas are provided.

In this activity, students compute statistical measures like the mean, standard deviation, and variance of the data set. They understand how measures of variability can be interpreted.

This set contains questions about simulating sampling distributions. Students see graphs of simulated distributions enabling them to reach conclusions about mean, shape, and standard deviation.