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How To... Calculate Effect Size (Two Samples t Test)

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When you find a significant difference between two samples with a t Test, you normally report that you have found an "effect". But how meaningful is that effect? In this video you will learn step-by-step how to calculate Effect Size to determine the magnitude of the effect.

Опубликовано:

20 авг 2024

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Комментарии : 9

@nesyjames6167 4 месяца назад

Dr. Eugene thanks. This was helpful. Love d way u used variance so as to simply d calculations.

@terrancegrant1664 3 года назад

An excellent video, Eugene. Thanks.

@carineokeh3543 2 года назад

It was very helpful. Thanks a lot.

@conchiorobiyirieba9225 Год назад

very helpful, many thanks

@emermorrison951 2 года назад

In the equation, you say pooled variance is, square root of 27.0 +21.5 divided by 2. Were 27 and 21.5 supposed to be squared first? I know that gives it a really high number, but that's what the formula says, right? What am I missing?

@EugeneOLoughlin 2 года назад

Hi Emer, Please follow what I do: add 27.0 and 21.5 first. Then divide by 2. Then take the square root of that number - you should get a result of 4.92 as I do. Hope this helps, Dr E.

@CamulosKnight 13 дней назад

There is a typo error in the table on the top left of the video. The value of 27 & 21.5 are actually for the sample variance (s-squared) and not the sample standard deviation (s) as shown. This is why the values can be directly substituted for the population variance (sigma-squared) in the equation on the top-right of the video without having to square them.