Crash Course
Measures of Spread - Crash Course Statistics
Today, we're looking at measures of spread, or dispersion, which we use to understand how well medians and means represent the data, and how reliable our conclusions are. They can help understand test scores, income inequality, spot...
Crash Course
Plots, Outliers, and Justin Timberlake Data Visualization Part 2 - Crash Course Statistics
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...
Curated Video
Measures of Central Tendency
"Statistical Measures" explains mean, median, mode, mean absolute deviation, range, and interquartile range.
Curated Video
Best Fit
A video entitled "Best fit" which explains how to calculate measures of center and measures of variation and discusses how to determine the value that best represents a data set.
Curated Video
Statistical Measures
A video entitled "Statistical Measures" which explains mean, median, mode, mean absolute deviation, range, and interquartile range.
Curated Video
Comparing Data Sets Using Comparative Box Plots
In this video, the teacher explains how to compare two data sets using comparative box plots. They discuss the elements of a box plot, such as the minimum, maximum, median, lower quartile, upper quartile, and interquartile range. The...
Curated Video
Learning R for Data Visualization (Video 8)
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...
msvgo
Measures of Dispersion
It explains the limitations of measures of central tendency and hence the need of measures of dispersion. It also introduces various measures of dispersion.
Curated Video
The Complete Excel Guide: Beginners to Advanced - Statistical Functions for Description - Part 2
The aim of this video is to further explore statistical functions for description. This clip is from the chapter "Excel 2019 Advanced: Statistical Functions" of the series "The Complete Excel Guide: Beginners to Advanced".In this...
R Programming 101
Explore your data using R programming
When doing data analysis, you need to start with a good understanding of you data. To explore your data, R has some fantastic and easy to use functions. In this video I take you through the process of exploring dataset and understanding...
KnowMo
Introduction to Quartiles and Interquartile Range
This video is a tutorial on quartiles and interquartile range. The speaker explains the concept of quartiles and their usefulness in analyzing data distribution. The video discusses how quartiles can be used to identify specific points...
Curated Video
Comparing Experimental Treatments Using Box Plots
Using examples of different research studies, this video demonstrates how to interpret the data in the box plots to make informed decisions about the effectiveness of different treatments. This lesson provides a clear and concise...
Curated Video
Comparing Interquartile Range with Box Plots
In this video, the teacher explains how to use box plots to compare the performance of two classes. The teacher demonstrates how to find the five-number summary for each class, including the median, first quartile, and third quartile....
Curated Video
GCSE Secondary Maths Age 13-17 - Probability & Statistics: Box Plot - Explained
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...
Curated Video
GCSE Secondary Maths Age 13-17 - Probability & Statistics: Box Plots - Explained
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...
Curated Video
GCSE Secondary Maths Age 13-17 - Probability & Statistics: Box Plot - Explained
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...
Curated Video
Box and Whisker Plots: Understanding and Creating Them
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...
Curated Video
Comparing Populations: Range and Interquartile Range
In this video lesson, students will learn how to compare the consistency of two teams or populations over a period of time using the range and interquartile range. The range measures the difference between the highest and lowest values,...
Curated Video
Quartiles and Interquartile Range
Find the minimum, maximum, quartiles, and Interquartile range for a data set.
Global Health with Greg Martin
Data Visualisation
In this video, the speaker discusses the importance of data visualization in telling a compelling story with data. They showcase various graphics and techniques to effectively communicate insights from different types of data sets. From...
Curated Video
Finding the Modal Class and Completing a Cumulative Frequency Table
This video shows the process for solving the problem presented in IGCSE A June 2018 paper 2HR Q11, which involves cumulative frequency tables. Students will understand how to interpret a frequency table, the concept of a cumulative...
Curated Video
Data Analytics using Python Visualizations - Plotting Histograms and Box Plots
This video explains plotting histograms and box plots. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you to...
Curated Video
Calculating and Comparing the Spread of Data Sets: Understanding Standard Deviation
Learn how to calculate and compare the spread of data sets using measures such as range, interquartile range, and standard deviation. By understanding these measures, the teacher helps students understand the variability and consistency...