Khan Academy
Khan Academy: Statistics: Standard Deviation
Video reviews the population and sample mean and variance then expands to population and sample standard deviation. Gives examples of calculating the standard deviation. [13:07]
Khan Academy
Khan Academy: Statistics: Sampling Distribution Example Problem
Video example of using a sample distribution to solve a problem determining the probability that a sample mean is below a certain number. Includes example of finding a z-score and looking it up in a table to determine the probability....
Khan Academy
Khan Academy: Statistics: 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. Uses the...
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: 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: 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.
Khan Academy
Khan Academy: Why We Divide by N 1 for the Unbiased Sample Variance
This video is reviewing the population mean, sample mean, population variance, sample variance and building an intuition for why we divide by n-1 for the unbiased sample variance.
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: Sampling Distribution: Sampling Distribution of the Sample Mean 2
Video discusses the effect of sample size on the sampling distribution.
Khan Academy
Khan Academy: Statistics: Variance of a Population
Video first reviews sample and population mean and their notation. Gives example of how variance is a useful description of a set and shows how to calculate variance including notation. Includes link to practice problems. [12:23]
Khan Academy
Khan Academy: Law of Large Numbers
Sal Khan introduces the magic behind the law of large numbers. [8:59]
Sophia Learning
Sophia: Sample Statistics and Population Parameters: Lesson 2
This lesson will explain the distinction between sample statistics and population parameters, with a review of sampling distributions. It is 2 of 4 in the series titled "Sample Statistics and Population Parameters."
Sophia Learning
Sophia: Sample Statistics and Population Parameters: Lesson 3
This lesson will explain the distinction between sample statistics and population parameters, with a review of sampling distributions. It is 3 of 4 in the series titled "Sample Statistics and Population Parameters."
Sophia Learning
Sophia: Sample Statistics and Population Parameters: Lesson 4
This lesson will explain the distinction between sample statistics and population parameters, with a review of sampling distributions. It is 4 of 4 in the series titled "Sample Statistics and Population Parameters."