Measures of Dispersion 1.1 : Range of individual, discrete and continuous data series. Easy peasy

In statistics, the range is defined simply as the difference between the maximum and minimum observations. It is the simplest measure of dispersion.
The range is one of the absolute measures of dispersion.
Range: Definition and Formula
How to Calculate the Range of a Data Set
Range: A Measure of Variability or Dispersion
Range: Examples and Applications
Range: Advantages and Limitations
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[@emmanuelpembi1253]

Great work

[@PublicHealthResources]

Thank you Chief 👍

[@nenezego7303]

Thank you for this series of “statistics made easy” videos 👍🏾

[@PublicHealthResources]

Am glad you find the series enjoyable 😊

[@ismailraji1832]

Thanks for this easy-to-follow video. Will recommend to newbies in biostatistics.

[@PublicHealthResources]

Nagode sir👍

[@undoemmanuel6172]

Nice, easy for comprehension

[@PublicHealthResources]

Glad you think so!

[@ifeomaabbey4314]

Thank you sir

[@PublicHealthResources]

You are most welcome Ify

[@FaithfulDike]

Thank you sir...

[@PublicHealthResources]

Thank you too and all the best 👍

[@hannyusman9756]

Thanks alot

[@PublicHealthResources]

You are most welcome Hanny👍

[@D.Yinkus]

Thank you for this video. Please with grouped data, can range be calculated using upper class boundary of the highest class interval minus the lower class boundary of the lowest class interval. Using this will give a different answer. But is this equally right in statistics

[@PublicHealthResources]

Great question! For grouped data, the exact statistic is impossible to determine except if you have the individual data points. And if you have the individual data points then you can just subtract the highest from the lowest right? So the range, mean, median e.t.c for grouped data is only estimated and not the exact values. The best estimate for range of grouped data is the upper class limit of the highest class minus the lower class limit of the lowest class. I hope this helps