Instructional Video18:30
Schooling Online

Chemistry Skills: Reliability Part 2

3rd - Higher Ed
We know that Robin Hood is an accurate and reliable archer, but just how good is he? Is his aim god-like, or is he liable to the errors and imperfections of mortals? This lesson will elaborate on the concept of reliability, including...
Instructional Video17:56
Schooling Online

IB Physics Skills: Reliability Part 2

3rd - Higher Ed
We know that Robin Hood is an accurate and reliable archer, but just how good is he? Is his aim god-like, or is he subject to the errors and imperfections of mortals? This lesson will continue investigating the concept of reliability,...
Instructional Video3:09
Curated Video

GCSE Secondary Maths Age 13-17 - Probability & Statistics: Scatter Graph - 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 Video3:30
Curated Video

Describing Data Distributions from Graphed Data

3rd - 5th
Describe a data distribution from a graph (spread direction, shape symmetric and gaps).
Instructional Video14:56
Instructional Video4:44
Curated Video

Machine Learning Random Forest with Python from Scratch - Outliers

Higher Ed
Let's look at outliers, the data points of a dataset that differ from others and are usually excluded by visualizing a dataset. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning: Random...
Instructional Video6:55
Curated Video

Calculating and Comparing Data Spread Using Interquartile Range

K - 5th
In this video, the teacher explains how to calculate and compare the spread of data sets using the interquartile range. The interquartile range helps determine the range of the middle half of the data, which is especially useful when...
Instructional Video9:13
Curated Video

Machine Learning Random Forest with Python from Scratch - Outliers Removal

Higher Ed
In the second part of the data cleaning process, we will look at an outlier in detail and learn how to correct or remove the outlier. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
Instructional Video6:28
Curated Video

Representing Outliers in a Boxplot Using Quartiles

K - 5th
In this video, students learn how to represent outliers in a boxplot by using quartiles. The video explains the five-number summary of a boxplot and demonstrates how to calculate the interquartile range. It then shows how to identify and...
Instructional Video3:02
Curated Video

GCSE Secondary Maths Age 13-17 - Probability & Statistics: Scatter Diagram - 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 Video4:23
Curated Video

Interpreting Scatter Plots: Identifying Clusters and Outliers

K - 5th
This video lesson teaches students how to interpret scatter plots by identifying clusters and outliers. It explains the concept of scatter plots and demonstrates how to draw conclusions about the relationship between two sets of data. By...
Instructional Video4:08
Curated Video

Analyzing Data: Comparing Sets with Outliers

K - 5th
In this video, the teacher explains how to compare two sets of data when there is an outlier. They discuss the use of measures of center and measures of spread, such as median and interquartile range, to analyze the data.
Instructional Video2:34
Curated Video

Measures of Center

3rd - 5th
Identify which measure of central tendency best describes a data set.
Instructional Video8:52
Curated Video

Testing for Outliers in Data: Methods and Example

Higher Ed
The video is a lecture on how to test for outliers in datasets and provides three methods for identifying them. The instructor explains the importance of identifying outliers to ensure the validity of data and outlines the three methods:...
Instructional Video5:07
Curated Video

Finding the Range of Data

K - 5th
In this video, students will learn how to find the range of a set of data by using graphs and charts. They will also discover how the range changes when an outlier is removed. The lesson covers the concepts of mean and median, and...
Instructional Video4:54
Curated Video

Understanding Appropriate Conditions for Using the Normal Model

K - 5th
Understand the conditions for using a normal model to analyze one-variable data sets. Review different types of distributions, such as uniform, skewed, and multi-peaked, and emphasize the importance of visually examining the data before...
Instructional Video3:31
Curated Video

Summarizing Data: Mean, Median, and Mode

K - 5th
In this video, the teacher explains how to summarize a data set by finding the mean, median, and mode. They discuss the differences between these measures of center and when each one is the most appropriate choice to describe the data.
Instructional Video6:20
Curated Video

Identifying Outliers in Data Sets Using Quartiles

K - 5th
In this video, the teacher explains how to identify outliers in data sets using quartiles. They use the example of temperature data in Chicago to demonstrate the process. The teacher emphasizes the importance of not simply dismissing...
Instructional Video4:41
Curated Video

Interpreting Scatter Plots and Predicting Unobserved Data

K - 5th
In this video, the teacher explains how to use observed data to predict unobserved data using scatter plots and the line of best fit. They emphasize the importance of not letting outliers influence the line and demonstrate how to draw...
Instructional Video5:24
Curated Video

Choosing the Best Measure of Center and Variability

K - 5th
In this video, the teacher explains how to choose the best measure of center and variability for a given set of data. They discuss the concepts of mean, median, mode, range, and interquartile range, and provide examples to illustrate...
News Clip3:15
Bloomberg

Markets in 3 Minutes: US Curve Steepening of a Different Sort

Higher Ed
Mark Cudmore and Anna Edwards break down today's key themes for analysts and investors on "Bloomberg Markets Today."
News Clip3:16
Bloomberg

Markets in 3 Minutes: China Deflation Risk Puts Focus on US CPI

Higher Ed
Eddie van der Walt and Anna Edwards break down today's key themes for analysts and investors on "Bloomberg Markets Today."
News Clip7:55
Bloomberg

Banking Breakdown Roundtable

Higher Ed
Former US Treasury Secretary Lawrence H. Summers, Dan Tarullo, Former Federal Reserve Board Governor and Stephanie Flanders, Bloomberg Executive Editor for Economics and Government dive into how to manage inflation and how the banking...
News Clip5:49
Bloomberg

Index Ventures Views AI as the Next Big Thing

Higher Ed
Index Ventures General Partner Mike Volpi joins Ed Ludlow and Caroline Hyde to discuss why the firm views AI as a platform shift akin to mobile a decade and a half ago. Volpi also shares his thoughts on global investment opportunities.