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: Simulation Showing Bias in Sample Variance
This video uses a simulation to better understand why we divide by n-1 when we calculated an unbiased sample variance. When we are in an unbiased way trying to estimate the true population varience.
Imagine Learning Classroom
Learn Zillion: Slideshow: Approximating a Sampling Distribution From a Simulation
In this lesson, you will learn about sampling distributions and how to approximate them by using a simulation. [8:03]
Virtual Nerd
Virtual Nerd: What Is an Unbiased Sample?
This tutorial introduces you to unbiased sampling which can be helpful when trying to learn about a population. [5:04]
Texas Education Agency
Texas Gateway: Study Edge Statistics: Using the Central Limit Theorem
Models how to use the Central Limit Theorem to make predictions about a sample distribution. Includes downloadable study guide with exercises - guide also covers other topics. [7:45]
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: Bernoulli Distributions and Margin of Error: Margin of Error 1
Video example of calculating the mean, variance and standard deviation of a sample of a Bernoulli distribution. Finding the 95% confidence interval for the proportion of a population voting for a candidate.
Khan Academy
Khan Academy: Bernoulli Distributions and Margin of Error: Margin of Error 2
This video shows how to create a confidence interval for the population mean from a sample taken from a Bernoulli distribution. Finding the 95% confidence interval for the proportion of a population voting for a candidate.
Khan Academy
Khan Academy: Estimating the Line of Best Fit
In this video lesson, students estimate the line of best fit from a scatter plot. [1:16]
Khan Academy
Khan Academy: Reasonable Samples
Discusses how to create a sample set that is representative of the whole set or population. Presents an example of a politician surveying her constituents about an issue. [4:17]
Khan Academy
Khan Academy: Sampling Distribution of Sample Proportion Part 1
This video goes over the formulas for the mean and standard deviation of a sampling distribution of sample proportions. [9:56]
Khan Academy
Khan Academy: Sampling Distribution of Sample Proportion Part 2
In this video, a simulation is used to demonstrate the sampling distribution of sample proportions. [4:34]
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: Determining Sample Size Based on Confidence and Margin of Error
Determining sample size based on confidence level and margin of error.
Khan Academy
Khan Academy: Simulation Showing Value of T Statistic
See why we use t statistics when building confidence intervals for a mean using the sample standard deviation in place of the population standard deviation.
Khan Academy
Khan Academy: Sample Size for a Given Margin of Error for a Mean
Calculate the approximate sample size required to obtain a desired margin of error in a confidence interval for a mean.
Crash Course
Crash Course Statistics #28: Degrees of Freedom and Effect Sizes
Video discusses degrees of freedom and effect sizes as related to a sampling of data within every day settings.
Crash Course
Crash Course Statistics #27: T Tests
T test, or comparing the mean of two different groups, is applied to everyday settings.
Sophia Learning
Sophia: Z Scores
In this lesson, students are introduced to Z-scores and their relevance to variance and distribution in data sets.
Sophia Learning
Sophia: Z Scores
In this lesson, students are introduced to Z-scores and their relevance to variance and distribution in data sets.
Sophia Learning
Sophia: Using Different Measures of Central Tendency
This lesson demonstrates how the different measures of central tendency can cause you to look at data differently.
Sophia Learning
Sophia: Using Different Measures of Central Tendency
This lesson demonstrates how the different measures of central tendency can cause you to look at data differently.
PBS
Pbs Learning Media: Crash Course Computer Science: The Central Processing Unit (Cpu)
Today, we're going to build the ticking heart of every computer - the Central Processing Unit or CPU. The CPU's job is to execute the programs we know and love - you know, like GTA V, Slack... and Power Point. To make our CPU, we'll...
PBS
Pbs Learning Media: Crash Course Computer Science: How Computers Calculate the Alu
Today we're going to talk about a fundamental part of all modern computers. The thing that basically everything else uses - the Arithmetic and Logic Unit (or the ALU). The ALU may not have to most exciting name, but it is the...