Khan Academy
Khan Academy: Statistics: Sampling Distribution of the Sample Mean
Video reviews the central limit theorem and uses a simulation to illustrate sampling distributions and how they approach a normal distribution with larger sample sizes even if the original distribution was not normal. Also discusses the...
Khan Academy
Khan Academy: Inferential Statistics: Central Limit Theorem
Video explains the central limit theorem and gives examples and visuals to illustrate it. [9:49]
Khan Academy
Khan Academy: Statistics: Sampling Distribution of the Sample Mean 2
Video discusses the effect of sample size on the sampling distribution. Shows using a simulation how as sample size increases the sampling distribution becomes more normal and the standard deviation decreases. Also discusses the effect...
Khan Academy
Khan Academy: Statistics: Normal Distribution Problems: Z Score
Video gives examples of calculating z-scores for a problem when the mean and standard deviation are given. Includes link to practice problems. [7:48]
Khan Academy
Khan Academy: Statistics: Normal Distribution: Standard Normal & Empirical
Video example of giving the mean and standard deviation of the standard normal distribution and finding probabilities using the empirical rule. [8:16]
Khan Academy
Khan Academy: Statistics: Introduction to the Normal Distribution
Video discusses the importance of the normal distribution and gives its formula with examples of how it is used. Connects to the central limit theorem. Manipulates the normal distribution formula to show different forms of it. Uses Excel...
Khan Academy
Khan Academy: Statistics: More Empirical Rule and Z Score Practice
Video example of calculating z-scores and explaining how z-scores apply to non-normal distributions. Also shows example of using empirical rule to calculate probability. Includes link to practice problems. [5:57]
Khan Academy
Khan Academy: Statistics: Normal Distribution Problems: Empirical Rule
Video reviews the empirical rule (68-95-99.7 rule) and gives examples using it to approximate probabilities. Includes link to practice problems. [10:25]
Khan Academy
Khan Academy: Statistics: Normal Distribution Excel Exercise
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...
Sophia Learning
Sophia: Employing the Empirical Rule: Lesson 1
This lesson shows how to put the empirical rule to use. It is 1 of 7 in the series titled "Employing the Empirical Rule."
Sophia Learning
Sophia: Employing the Empirical Rule: Lesson 2
This lesson shows how to put the empirical rule to use. It is 2 of 7 in the series titled "Employing the Empirical Rule."
Virtual Nerd
Virtual Nerd: What Is a Normal Distribution?
This tutorial introduces normal distribution and shows the characteristics of a normal distribution curve. [4:22]
Khan Academy
Khan Academy: Statistics: Normal Distribution Problems: Qualitative Sense
Video gives four examples of real world situations and discusses whether or not they would most likely be normally distributed. Discussed bimodal distributions and skewed distributions. [10:53]
Khan Academy
Khan Academy: Sampling Distribution: Standard Error of the Mean
Video first briefly reviews the effect on the sampling distribution when the sample size increases then gives the formula for variance of the sample mean of the sampling distribution and formula for standard error of the mean.
Imagine Learning Classroom
Learn Zillion: Video: 'Model a Data Set With a Normal Probability Distribution'
In this lesson, you will learn how to model a data set with a normal probability distribution by using the mean and standard deviation of the data set. [4:59]
Crash Course
Crash Course Statistics #7: The Shape of Data: Distribution
When collecting data to make observations about the world, it isn't possible to collect ALL THE DATA. So instead of asking every single person about student loan debt, we take a sample of the population and use the shape of our samples...
Khan Academy
Khan Academy: Sampling Distribution: Sampling Distribution of the Sample Mean
Video reviews the central limit theorem and uses a simulation to illustrate sampling distributions and how they approach a normal distribution with larger sample sizes even if the original distribution was not normal.
Khan Academy
Khan Academy: Normal Distribution: Introduction to the Normal Distribution
Video discusses the importance of the normal distribution and gives its formula with examples of how it is used.
Khan Academy
Khan Academy: Normal Distribution: More Empirical Rule and Z Score Practice
Video example of calculating z-scores and explaining how z-scores apply to non-normal distributions.
Khan Academy
Khan Academy: Sampling Distribution: Sampling Distribution of the Sample Mean 2
Video discusses the effect of sample size on the sampling distribution.
Khan Academy
Khan Academy: Normal Distribution: Empirical Rule
This video uses the empirical rule (or 68-95-99.7 rule) to estimate probabilities for normal distributions
Khan Academy
Khan Academy: Normal Distribution: Z Score
Video gives examples of calculating z-scores for a problem when the mean and standard deviation are given.
Khan Academy
Khan Academy: Normal Distribution: Normal Distribution Excel Exercise
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...
Khan Academy
Khan Academy: Calculating Percentile
Learn how to calculate the percentile rank for a given data point.