Instructional Video21:28
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Law of Large Numbers Famous Distributions Python

Higher Ed
In this video, we will cover law of large numbers famous distributions Python.
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This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine...
Instructional Video11:51
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Law of Large Numbers

Higher Ed
In this video, we will cover law of large numbers.
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This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Instructional Video4:08
Curated Video

Understanding Populations and Samples: Importance of Representative Samples and Large Sample Sizes

Higher Ed
This video explains the concepts of populations and samples in statistical analysis. It defines population as the overall group of interest, and sample as a subset of the population used to infer information about it. The video...
Instructional Video4:47
Curated Video

Choosing the Right Sample Size: Reducing Variation in Statistics

K - 5th
In this video, the concept of sampling in statistics is explained using examples of a fitness club and a history exam. The importance of random sampling and avoiding biased samples is emphasized. The video also highlights the...
Instructional Video3:27
Curated Video

Statistics for Data Science and Business Analysis - Calculating and Understanding Covariance

Higher Ed
This video continues with the most common measure of interconnection between variables: covariance.
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This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data Science and Business...
Instructional Video6:46
Curated Video

Understanding and Interpreting the Margin of Error

K - 5th
In this video, the teacher explains how researchers use the margin of error to interpret data. They discuss the properties of the normal distribution and provide formulas to calculate the margin of error for different scenarios.
Instructional Video7:51
Curated Video

Interpreting Marketing Data: Confidence Intervals, Correlations, and Extrapolation Explained

Higher Ed
The video discusses different techniques for interpreting marketing data, including confidence intervals, correlations, and extrapolation. The speaker explains each technique in detail and provides examples to illustrate how they work in...
Instructional Video10:47
KnowMo

Introduction to Sampling: How to Select a Representative Sample

12th - Higher Ed
This video is a lecture about sampling, which is a method used to collect and analyze data about a population. The lecturer explains that it is often not feasible to collect data from every member of a population, so a sample is taken...
Instructional Video5:28
Curated Video

Introduction to Sampling in Marketing and Research

Higher Ed
This video gives an introduction and overview of sampling from a marketing perspective. The speaker explains the different types of sampling techniques such as random sampling, quota sampling, and stratified sampling, and provides...
Instructional Video4:17
Curated Video

Statistics for Data Science and Business Analysis - Type I Error Versus Type II Error

Higher Ed
In this video, you'll learn about Type I error versus Type II error.
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This clip is from the chapter "Hypothesis Testing" of the series "Statistics for Data Science and Business Analysis".This section explains null and...
Instructional Video4:01
Curated Video

Statistics for Data Science and Business Analysis - Calculating Confidence Intervals for Two Means with Independent Samples (Part 2)

Higher Ed
This is the second of the three-part video, where you'll calculate confidence intervals for two means with independent samples.
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This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science...
Instructional Video8:32
Curated Video

Reducing Margin of Error with Simulation and Sample Size

K - 5th
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...
Instructional Video4:34
Curated Video

Statistics for Data Science and Business Analysis - Calculating Confidence Intervals for Two Means with Independent Samples (Part 1)

Higher Ed
This is the first of the three-part video, where you'll calculate confidence intervals for two means with independent samples.
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This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science...
News Clip48:33
Curated Video

India's pace attack will be over reliant on Jasprit Bumrah during Border-Gavaskar Trophy in Australia

Pre-K - Higher Ed
With the Border-Gavaskar Trophy on the line, all eyes are on Jasprit Bumrah. Will India's pace attack be too dependent on him, or can others rise to the challenge in Australia?
News Clip1:13:27
The Recount

After Russia’s Invasion, the Sports World Bites Back

Higher Ed
Much of the sports world protested Russia's invasion of Ukraine almost from its start — and that includes Russia's own athletes. Tennis players Andrey Rublev and the sport’s newly-minted number one on the men’s side, Daniil Medvedev,...
News Clip2:14
Bloomberg

What Impeachment Talk Means for Markets

Higher Ed
Sep.26 -- Andres Garcia-Amaya, Zoe Financial founder & chief executive officer, Peter Tchir, head of macro strategy at Academy Securities, and Rich Saperstein, HighTower Treasury Partners chief investment officer, discuss the market...
News Clip52:37
Bloomberg

First-Ever Stylists Roundtable: Image Makers to Mega-Stars Kristen Stewart, Alexander Skarsgard, Zendaya and More

Higher Ed
Booth Moore hosts THR's first-ever stylists roundtable featuring Jason Bolden, Ilaria Urbinati, Tara Swennen, Jeanne Yang and Law Roach.
News Clip4:56
AFP News Agency

CLEAN : Connecticut aquarium welcomes beluga whales from Canada despite activist opposition

9th - Higher Ed
The aquarium in Mystic, Connecticut, has welcomed five new beluga whales from MarineLand in Canada after a 10 year battle with legislators and animal activists (Footage by AFPTV via Getty Images)
Instructional Video5:57
Curated Video

Connie Wang - features writer at Refinery29 - gives her style analysis of fashion on the Emmy carpet

Higher Ed
FASHION HITS AND MISSES AT THE EMMY AWARDS

The stars turned out in their Hollywood best on the red carpet of the 69th prime-time Emmy ceremony in Los Angeles...
Instructional Video22:30
1
1
Flipped Math

Sampling Methods

9th - 12th Standards
Pupils watch a video to learn about different types of sample design and how to use technology to create a random sample. They discover different types of bias that may happen due to the sampling design or the questions. Learners use...
Instructional Video6:46
1
1
statisticsfun

How to Calculate Sample Size and Margin of Error

11th - 12th Standards
Explore the effect sample size has on margin of error and confidence interval. The instructor calculates the margin of error of fictional data. He shows how the calculation changes when the sample size changes while keeping the other...
Instructional Video2:12
1
1
statisticsfun

Derive the Sample Size Equation for Population Proportions

9th - 12th Standards
There are too many equations to memorize, but a helpful trick will make it easier. When you start with the confidence interval equation, the video walks through how to solve it and create the sample size equation.
Instructional Video2:17
1
1
statisticsfun

Deriving the Sample Size Equation

9th - 12th Standards
Where do all of these equations come from? A statistics video explains how to find the sample size equation based on the formula for the confidence interval. 
Instructional Video7:04
1
1
statisticsfun

Why are Degrees of Freedom (n-1) Used in Variance and Standard Deviation

9th - 12th Standards
Don't be mean, be above average. A straightforward video explains why degrees of freedom are used and how to recognize the error based on your sample population.