Curated Video
Calculating and Comparing Data Spread Using Interquartile Range
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...
Curated Video
Comparing Two Sets of Data: Measures of Center and Measures of Spread
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...
Curated Video
Finding an Estimate for Interquartile Range
This video explains how to collect data from a cumulative frequency graph and how to use that data to find an estimate for the interquartile range. Source of question: IGCSE A June 2018 paper 1H Q10.
Curated Video
Comparing Variability: Medians and Interquartile Ranges
In this video, the teacher explains how to compare the variability in weights of professional baseball and soccer players using medians and interquartile ranges. They demonstrate that while baseball players are heavier on average, soccer...
Curated Video
Measures of Variation: Range, Interquartile Range, and Percentile Range
This video explains the different measures of variation, specifically the range, interquartile range, and percentile range. The host demonstrates how each measure is calculated and defines the various quartiles and percentiles used in...
Curated Video
Describing the Spread of Data: Range, Interquartile Range, and Mean Absolute Deviation
In this video, students will learn how to describe the spread of data using different measures. They will be introduced to the concepts of range, interquartile range, and mean absolute deviation.
Curated Video
GCSE Secondary Maths Age 13-17 - Probability & Statistics: Cumulative Frequency Graph - 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...
KnowMo
Introduction to Box Plots: Understanding and Constructing Them
This video explains what box plots are and how to interpret and construct them. It provides specific information on the different components of a box plot, including the minimum and maximum values, quartiles, range, and median. The video...
KnowMo
Understanding Quartiles and Box Plots for Data Analysis
This video explains the concept of quartiles and box plots, which are used to analyze and visualize data sets. The video also explains how to determine the quartiles using a cumulative frequency graph and how to draw a box plot to...
Curated Video
Mean Absolute Deviation vs Standard Deviation
In this video, the teacher explains the difference between mean absolute deviation (MAD) and standard deviation, which are both measures of spread in a set of data. The teacher demonstrates how to calculate both MAD and standard...
Curated Video
Representing Outliers in a Boxplot Using Quartiles
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...
Curated Video
Analyzing Two Histograms: Comparing Center and Spread
This video demonstrates how to compare center and spread of histograms using the example of high school students' expected age of marriage compared to the age at which people 65 and over actually got married. The video explains how to...
Curated Video
Measures of Center
Identify which measure of central tendency best describes a data set.
Global Health with Greg Martin
Statistics made easy ! ! ! Learn about the t-test, the chi square test, the p value and more
Learning statistics doesn’t need to be difficult. This introduction to stats will give you an understanding of how to apply statistical tests to different types of data. You’ll learn about numeric and categorical data and gain an...
Curated Video
Cumulative Frequency Diagrams and Box and Whisker Plots: A Guide to Estimation and Visualization
This video provides a lesson on cumulative frequency diagrams and box and whisker plots. The instructor uses sample data of rhino weights to demonstrate how to calculate cumulative frequencies and plot a cumulative frequency diagram....
Curated Video
Drawing Inferences from Box Plots
In this video, the teacher explains how to draw inferences by analyzing data on a box plot. They review the different components of a box plot and how they can help make predictions about the data.
Curated Video
Cumulative Frequency Diagrams and Box & Whisker Plots
The video discusses cumulative frequency diagrams and box and whisker plots as tools to summarize grouped continuous data. It explains how to calculate cumulative frequencies and plot them on a diagram, allowing for estimation of the...
Curated Video
Interpreting Histograms
This video explains how to interpret histograms by analyzing their shape, center, and spread. It discusses the relationship between mean, median, and mode in symmetrical and skewed graphs. It also explores the concept of outliers and how...
Curated Video
Describing Data: Measures of Center and Spread
In this lesson, students will learn how to describe data using measures of center and measures of spread. They will understand the difference between median and mean as measures of center, and how to calculate mean absolute deviation,...
Curated Video
Testing for Outliers in Data: Methods and Example
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:...
Global Health with Greg Martin
Data Analysis Fundamentals: Describing, Summarizing, and Visualizing Data
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...
Curated Video
Identifying Outliers in Data Sets Using Quartiles
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...
Curated Video
Comparing Box Plots: Analyzing Shape, Center, and Spread
This video explains how to interpret and compare box plots by analyzing shape, center, and spread. We review the five-number summary and how to determine the minimum, quartiles, median, and maximum. We also discuss the importance of...
Curated Video
Comparing Center and Spread of Texting Habits: Analyzing Box Plots
In this video, the teacher explains how to compare box plots by analyzing the center and spread of data sets. Using the example of high school students' daily text usage, the teacher demonstrates how to find the median and interquartile...