This 9-minute video lesson give a Rregression line example. [Statistics playlist: Lesson 67 of 85]

This 11-minute video lesson shows how to use the variance of a sample to estimate the variance of a population. [Statistics playlist: Lesson 14 of 85]

This 14-minute video lesson shows how to figure out the probability of running out of water on a camping trip. [Statistics playlist: Lesson 39 of 85]

This 11-minute video lesson looks at the the central limit theorem and the sampling distribution of the sample mean. [Statistics playlist: Lesson 36 of 85]

This 13-minute video lesson provides more discussion of the Central Limit Theorem and the Sampling Distribution of the Sample Mean. [Statistics playlist: Lesson 37 of 85]

This 9-minute video lesson provides a second regression example. [Statistics playlist: Lesson 69 of 85]

This 9-minute video lesson discusses the small sample hypothesis test. [Statistics playlist: Lesson 51 of 85]

This 11-minute video lesson shows how to construct small sample size confidence intervals using t-distributions. [Statistics playlist: Lesson 46 of 85]

This 7-minute video lesson provides an introduction to the idea that one can find a line that minimizes the squared distances to the points. [Statistics playlist: Lesson 62 of 85]

This 15-minute video lesson looks at the Standard Error of the Mean (a.k.a. the standard deviation of the sampling distribution of the sample mean!). [Statistics playlist: Lesson 38 of 85]

This 12-minute video lesson looks at the T-Statistic Confidence Interval (for small sample sizes). [Statistics playlist: Lesson 52 of 85]

This 3-minute video lesson discusses Type I Errors. [Statistics playlist: Lesson 50 of 85]

This 11-minute video lesson discusses variance of differences of random variables. [Statistics playlist: Lesson 54 of 85]

This 12-minute video lesson explains variance of a population. [Statistics playlist: Lesson 13 of 85]

This 7-minute video lesson compares Z-statistics and T-statistics. [Statistics playlist: Lesson 49 of 85]

A whirl-wind tour of the statistics used in behavioral science research, covering topics including: data visualization, building your own null-hypothesis distribution through permutation, useful parametric distributions, the generalized linear model, and model-based analyses more generally. Familiarity with MATLABA, Octave, or R will be useful, prior experience with statistics will be helpful but is not essential. This course is intended to be a ground-up sketch of a coherent, alternative perspective to the "null-hypothesis significance testing" method for behavioral research (but don't worry if you don't know what this means).

This 8-minute video lesson takes some problems from CK12.org to provide Z-score practice. [Statistics playlist: Lesson 31 of 85]

This course is a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, correlation, decision theory, and Bayesian statistics.

While the French had kept their end of the bargain by completing the statue itself, the Americans had still not fulfilled their commitment to erect a pedestal. In this lesson, students learn about the effort to convince a skeptical American public to contribute to the effort to erect a pedestal and to bring the Statue of Liberty to New York.

Help clarify the nature of symbols for your students as they study the Statue of Liberty, complete research on a national symbol, and use their research to communicate a message of their own.