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...

In this video, we’ll see how to cluster data in Tableau. • Understand clusters • Implement clustering in Tableau

In this video lesson, students will gain an intuitive understanding of how to construct and interpret scatter plots. This lesson explains that a scatter plot shows the relationship between two data sets. Students will find that there...

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...

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,...

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...

Describe a data distribution from a graph (spread direction, shape symmetric and gaps).

In this video, we will cover dataset preprocessing.

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

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...

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.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning:...

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...

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...

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...

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.

Identify which measure of central tendency best describes a data set.

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:...

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...

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...

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.

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...

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...

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...

David Phillips, senior climatologist at Environment Canada, says the effects of climate change generally occur slowly in the background and alter trends over a longer period.