Khan Academy: Normal Distribution of Random Numbers

A function that will generate random numbers but prefer higher numbers, the Monte Carlo Method is explaine.

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.

(Long-26 minutes) Presentation on spreadsheet to show that the normal distribution approximates the binomial distribution for a large number of trials.

Using the empirical rule (or 68-95-99.7 rule) to estimate probabilities for normal distributions.

Video discusses the importance of the normal distribution. The formula for the normal distribution is given and explained. A url is given where an excel spreadsheet can be downloaded which is shown and used to compare the binomial...

Use a z-table to find the probability that a particular measurement is in a range. Students receive immediate feedback and have the opportunity to try questions repeatedly, watch a video or receive hints.

Use a z-table to find the probability of a particular measurement. Students receive immediate feedback and have the opportunity to try questions repeatedly, watch a video or receive hints.

Video discusses the importance of the normal distribution and gives its formula with examples of how it is used.

Video example of calculating z-scores and explaining how z-scores apply to non-normal distributions.

This video uses the empirical rule (or 68-95-99.7 rule) to estimate probabilities for normal distributions