Khan Academy: Statistics: Type 1 Errors

Video expands on medical example from previous video and explains the difference between a one-tailed and two-tailed hypothesis test, when they would be used, and gives an example of calculating a one-tailed test. [6:34]

Video example of calculating the mean, variance and standard deviation of a sample of a Bernoulli distribution. Video is leading up to creating a confidence interval which will be shown in the next video. [15:02]

Video continues from previous video to show how to create a confidence interval for the population mean from a sample taken from a Bernoulli distribution. [10:05]

This video explains the different types of study designs used in statistics. [9:51]

Video explaining what the characteristics of a good statistical question are. [9:33]

Video demonstrates using t-statistics to answer a question involving hypothesis testing with a small sample. Explains how to read a t-table and use it for a one-tailed test. [9:04]

Video explains random variables, gives examples of what they are used for and explains the difference from traditional variables. Explains the difference between discrete and continuous random variables. Gives examples of using a random...

Video explaining how the Poisson probability distribution relates to the binomial distribution. Begins explaining the derivation of the Poisson distribution by referencing an example about the number of cars passing a certain point,...

Video demonstrates the steps of a hypothesis test involving comparing population proportions. It shows setting up the null and alternative hypotheses and the steps used to calculate a z-statistic for the difference of the proportions and...

Video explains the law of large numbers and why it works, including examples. Also explains the Gambler's fallacy, how it relates to the law of large numbers and why it is incorrect. Video is also included in the Probability section of...