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...

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...

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...

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...

Create box plots.

Today we’re going to finish up our unit on data visualization by taking a closer look at how dot plots, box plots, and stem and leaf plots represent data. We’ll also talk about the rules we can use to identify outliers and apply our new...

In this shorts video we will answer a standardized math test question by identifying IQR & Median on a Box-and-Whisker Plot. We will review each of the given box plots and identify the IQR as the width of the box. We will review each...

In this shorts video we will be presented with a standardized math test question and asked to find the median on a box and whisker plot. We will review the given problem. We will understand that inside the box of the box and whisker...

In this video, we will learn how to create and interpret box and whisker plots. Box and whisker plots are a type of graph that can be used to display the distribution of data. They are made up of a box, whiskers, and a median. The...

This video is part of a series of videos that consider data analysis using R programming. It is primarily for beginners. In this video I talk about using R to visualise your data. Data visualization using R is best done using the ggplot...

Create a frequency table and a dot plot to display data.

This video explains building a box and whiskers plot with ggplot2.<br<br/>/>

This clip is from the chapter "Visualizing Data" of the series "R Programming for Statistics and Data Science".This section explains visualizing data.

In this video, we will cover central tendency, mean, median, and mode.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we...

If you want to use R programming to create plots and graphs using the ggplot package, then watch this video. In this video, I'll go though how to visualize two numeric variables and one categoric variable using line graphs and faceting...

Using ggplot and ggplot2 to create plots and graphs is easy. This video provides an easy to follow lesson on how to use R programming to do excellent data visualisation. If you want to learn how to work with data and do quantitative...

This video provides a comprehensive guide on how to describe, summarize, and visualize data, covering key concepts such as variables, distributions, and statistical measures. It explains different types of data, such as categorical and...

Learn how to effectively compare and analyze data sets using statistical measures. In this video, we how to compare two sets of data using measures of center (median and mean) and measures of spread (standard deviation and interquartile...

In this video, students will learn about box and whisker plots, a visual way to display data distribution using five values: minimum, maximum, median, lower quartile, and upper quartile. The video explains how to interpret and create box...

In the short math video we will learn how to find the median of a set of data displayed in a dot plot.



>Grade 10
Statistics a
nd Probab
ility
S-ID.A.1
Determine the median value of real-world data d
isplayed in...

Steel plate defects are extracted from photos of several faulty steel plates with surface imperfections. Image analysis revealed 27 different features to describe the steel fault. A total of 6 unique types of faults are...

When collecting data to make observations about the world it usually just isn't possible to collect ALL THE DATA. So instead of asking every single person about student loan debt for instance we take a sample of the population, and then...

In addition to summary statistics, data visualization helps to understand the data characteristics and how different variables are related.There are many examples of data visualization with Matplotlib, Seaborn, and...

R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...

R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...