This video is from the Khan Academy subject of Math on the topic of Probability and statistics and it covers Sample standard deviation and bias.
Thinking about how we can estimate the variance of a population by looking at the data in a sample.
Figuring out the probability of running out of water on a camping trip
The central limit theorem and the sampling distribution of the sample mean
More on the Central Limit Theorem and the Sampling Distribution of the Sample Mean
Second Regression Example
Simulation by Peter Collingridge giving us a better understanding of why we divide by (n-1) when calculating the unbiased sample variance. Simulation available at: http://www.khanacademy.org/cs/challenge-unbiased-estimate-of-population-variance/1169428428
Small Sample Hypothesis Test
Constructing small sample size confidence intervals using t-distributions
Introduction to the idea that one can find a line that minimizes the squared distances to the points
Standard Error of the Mean (a.k.a. the standard deviation of the sampling distribution of the sample mean!)
T-Statistic Confidence Interval (for small sample sizes)
Understanding an insurance company's sense of my chances of dying.
Type 1 Errors
This video is from the Khan Academy subject of Math on the topic of Probability and statistics and it covers Universal set and absolute complement.
Variance of Differences of Random Variables
Variance as a measure of, on average, how far the data points in a population are from the population mean
This resources is an online video available in the "World Science Festival" open education series. The video "What Can't We Predict With Math?" is included in the Technology section of the series.
In this animated object, learners follow a process for simplifying radicals.
In this animated and interactive object, learners use an algebraic formula to solve a problem involving distance, rate, and time.