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, 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 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,...

Find the minimum, maximum, quartiles, and Interquartile range for a data set.

Create a grouped frequency table.

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...

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...

This video explains plotting histograms and box plots.
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This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you...

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...

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...

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...

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.

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...

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...

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.

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 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...

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...

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...

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...

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...

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

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...

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....