Instructional Video11:25
Crash Course

Randomness - Crash Course Statistics

12th - Higher Ed
There are a lot of events in life that we just can’t predict, but just because something is random doesn’t mean we don’t know or can’t learn anything about it. Today, we’re going to talk about how we can extract information from...
Instructional Video6:38
Curated Video

Julia for Data Science (Video 17)

Higher Ed
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance...
News Clip2:05
Bloomberg

Prestige's Schenker Sees Gold Heading Higher

Higher Ed
Apr.16 -- Prestige Economics President and Chief Economist Jason Schenker discusses Fed policy and what he thinks will drive the price of gold higher. He speaks on "Bloomberg Daybreak: Asia."
Instructional Video2:07
Curated OER

Kurtosis

4th - 7th
Kurtosis is a measure of weather data is peaked or flat. It will be displayed as a curve with long tails and a high peek. Each of the various kurtosis curves of distribution are describes and explained.
Instructional Video
Khan Academy

Khan Academy: Statistics: Sampling Distribution of the Sample Mean

9th - 10th Standards
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...
Instructional Video
Khan Academy

Khan Academy: Statistics: Sampling Distribution of the Sample Mean 2

9th - 10th Standards
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...
Instructional Video
Khan Academy

Khan Academy: Sampling Distribution: Sampling Distribution of the Sample Mean 2

9th - 10th Standards
Video discusses the effect of sample size on the sampling distribution.