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

[@ismailraji1832]

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

[@PublicHealthResources]

Nagode sir👍

[@nenezego7303]

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

[@PublicHealthResources]

Am glad you find the series enjoyable 😊

[@emmanuelpembi1253]

Great work

[@PublicHealthResources]

Thank you Chief 👍

[@undoemmanuel6172]

Nice, easy for comprehension

[@PublicHealthResources]

Glad you think so!

[@FaithfulDike]

Thank you sir...

[@PublicHealthResources]

Thank you too and all the best 👍

[@ifeomaabbey4314]

Thank you sir

[@PublicHealthResources]

You are most welcome Ify

[@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