Crash Course
The Normal Distribution - Crash Course Statistics
Today is the day we finally talk about the normal distribution! The normal distribution is incredibly important in statistics because distributions of means are normally distributed even if populations aren't. We'll get into why this is...
Crash Course
Test Statistics - Crash Course Statistics
Test statistics allow us to quantify how close things are to our expectations or theories. Instead of going on our gut feelings, they allow us to add a little mathematical rigor when asking the question: “Is this random… or real?” Today,...
Curated Video
R Programming for Statistics and Data Science - Standard Error and Confidence Intervals
This video explains standard error and confidence intervals. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.
Curated Video
Statistics for Data Science and Business Analysis - Understanding the central limit theorem
This video is about the central limit theorem - one of the most important statistical concepts. This clip is from the chapter "Inferential Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This...
Curated Video
Reducing Margin of Error with Simulation and Sample Size
This video explains how to use simulation to decrease the size of a confidence interval, using the example of a cafeteria manager who wants to know how many parents of school children believe that school lunches are satisfactory. The...
Curated Video
Sampling Distributions and Approximation through Simulation
In this video, the teacher discusses the concept of sampling distributions and how to approximate them using simulations. The example used is about a high school surveying students' opinions on increasing graduation requirements for math...
Curated Video
Analyzing the Likelihood of a Hypothesis through Sampling Distribution
In this video, the teacher explains how to determine the likelihood that a hypothesis is reasonable by approximating a sampling distribution and analyzing the results. The example used is whether a majority of students in a state are in...
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: Z Statistics vs. T Statistics
Video gives an explanation of the difference between using z-statistics and t-statistics and when each should be used. [6:39]
Khan Academy
Khan Academy: Statistics: Comparing Population Proportions 1
Video is the first of two parts to demonstrate an example using election statistics to compare the population proportions of the women and men who voted for a particular candidate. This first video just shows how to calculate the mean...
Khan Academy
Khan Academy: Inferential Statistics: Confidence Interval 1
Video showing how to determine the probability that the population mean is between two given values when given the mean and standard deviation of a sample. Uses sampling distribution and calculates a z-score in order to determine the...
Khan Academy
Khan Academy: Statistics: T Statistic Confidence Interval
Video demonstrates using t-statistics to create a 95% confidence interval for a small sample size. [11:47]
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: Small Sample Size Confidence Intervals
Video gives example of using a t-distribution when a small sample size is given. Example includes how to use a t-table to create a confidence interval for the population mean. [11:11]
Khan Academy
Khan Academy: Statistics: Comparing Population Proportions 2
Video is the second of two parts to demonstrate an example using election statistics to compare the population proportions of the women and men who voted for a particular candidate. The first video showed how to calculate the mean and...
Khan Academy
Khan Academy: Statistics: Difference of Sample Means Distribution
Video shows visually and reviews notation for sampling distributions of random variables. It then visually shows the distribution of the mean of the difference of two random variables and gives the formulas for the mean and variance of...
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: Confidence Interval of Difference of Means
Video demonstrates how to create a 95% confidence interval of the difference of means. Uses an example involving a medical experiment's results. [15:49]
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...
Sophia Learning
Sophia: Sampling & Predictions
Explore the relationship between sampling and predictions.
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: 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]
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.