Instructional Video5:01
Curated Video

Identifying Representative Samples

K - 5th
In this video, students learn about the importance of representative samples in making accurate predictions about a population. They are introduced to the concepts of biased and unbiased sampling methods and given examples to understand...
Instructional Video3:11
Curated Video

Statistics for Data Science and Business Analysis - Working with Estimators and Estimates

Higher Ed
This video explores the estimators and estimates, and differentiates between the two concepts. This clip is from the chapter "Inferential Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This...
Instructional Video2:14
Curated Video

Identify the Best Way to Sample a Population

9th - 12th
In this short video we will answer a standardized math test question where we are asked to identify the best representative sampling of a population. We will review each answer choice looking for bias and selecting the most random...
Instructional Video6:08
Curated Video

Identifying and Avoiding Biased Samples

K - 5th
In this video, students learn about generating unbiased samples to obtain a representative sample of a population. The video discusses the types of biased sampling methods, such as convenience samples and voluntary response samples, and...
Instructional Video9:19
TED Talks

TED: The moral bias behind your search results | Andreas ekstrom

12th - Higher Ed
Search engines have become our most trusted sources of information and arbiters of truth. But can we ever get an unbiased search result? Swedish author and journalist Andreas ekstrom argues that such a thing is a philosophical...
Instructional Video13:22
Curated Video

Random Sampling

9th - 12th
In this math video we will learn about random sampling that is representative of a population for a survey. Students will identify if a sample of a population is a valid representation. We will learn key vocabulary - population, random...
Instructional Video1:47
World Science Festival

Are Algorithms Biased?

6th - 11th
In machine learning, no algorithm works equally well for all problems, a phenomenon researchers sometimes refer to as the "no free lunch theorem." At the 2016 World Science Festival, cognitive psychologist Gary Marcus discussed what this...
Instructional Video1:13:12
World Science Festival

Science in the Hands of Scientists: The Meandering Path Toward Truth

6th - 11th
As a discipline, science aspires to be an evidence-based, non-partisan tool for revealing truth. But science is carried out by scientists, human beings like the rest of us, subject to pressures, preconceptions, and biases. What are the...
Instructional Video1:21:37
Let's Tute

Types of Problems Based on Probability

9th - Higher Ed
In this video, we will learn about different types of probability problems and how to solve them. The teacher will explain concepts such as favorable outcomes, total possible outcomes, and how to calculate probabilities using formulas....
Instructional Video5:09
Curated Video

GCSE Secondary Maths Age 13-17 - Probability & Statistics: Probability - Explained

9th - 12th
SchoolOnline's Secondary Maths videos are brilliant, bite-size tutorial videos delivered by examiners. Ideal for ages 13-17, they cover every key topic and sub topic covered in GCSE Maths in clear and easy to follow steps. This video...
Instructional Video5:39
Curated OER

What is an Unbiased Sample?

6th - 12th
Transmit to your class what an unbiased sample is with this video. The video goes into detail about what an unbiased sample looks like, providing examples and listing several different types of random sampling. This could be used when...
Instructional Video5:04
Curated OER

What is an Unbiased Sample?

9th - 12th
Transmit to your class what an unbiased sample is with this video. The video goes into detail about what an unbiased sample looks like, providing examples and listing several different types of random sampling. This could be used when...