Testing For Normality - Clearly Explained

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In this video, I will provide a clear overview of normality testing data. Testing for normality is an important procedure to determine if your data has been sampled from a normal (Gaussian) distribution.
There are two main ways that are commonly used to deduce whether data have been sampled from a normal distribution: analysis of graphs (eg, Q-Q plots and frequency distributions) and performing normality tests (eg, Shapiro-Wilk test).
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Опубликовано:

17 мар 2020

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Комментарии : 85

@texaspolygraph 4 года назад

Once again you have found a way to simply describe something that can be difficult to comprehend. Your explanations and videos are truly first rate.

@user-ey1es6fr1x 2 года назад

Thank you so much for such an informative and useful guide. I write my bachelor thesis and try to find out if my data is normally distributed. Thanks to your clear explanations, now I know exactly how to test it!!👍🏼

@alirezasadeghi2975 10 месяцев назад

I find it the best video currently available on RU-vid👍🏼👍🏼👍🏼

@sayantan.mukherjee 2 года назад

fantastic explanation. the entire normality confusion is cleared now. i wish this channel comes up with more statistical chapters. SUBSCRIBED !

@elmakkiamiri3912 Год назад

simply put, you are great. keep up the outstanding job man

@loadedbylarry 4 года назад

Nice vid! keep up the good work.

@alinecamargo7705 2 года назад

Great explanation, thank you so much!!

@cvino0618 8 месяцев назад

Good video saving this for a reference point to anyone looking into BI Data Analysts prep kit I'm making

@RicardoLopes121 Год назад

Thank you very for your fantastic explanation!

@mdshafiulislamrion4069 2 года назад

Tremendous explanation. Thanks.

@fabianromero9691 2 года назад

Very clear...thank you!

@merveekecan7687 3 года назад

That really helps.. thank you so much

@tyronebishop4875 2 года назад

Fantastic explanation!

@LayneSadler Год назад

absolutely fantastic. really interesting point about power 8:40

@michalmokros 3 года назад

When p-value is bigger than 0.05 we do not reject the alternative hypothesis. The only thing we are observing is whether or not we reject the null hypothesis, therefore only thing we can reject is the null hypothesis if p-value is below our significance level. Otherwise great vid.

@ShawnMorel 2 года назад

I had the same reaction. We can't reject in both depending on the p-value, just reject the null or fail to reject the null because we don't have enough evidence to reject the null with that level of significance.

@ernesttafumanei5843 Год назад

I concur: we can either reject or fail to reject the null hypothesis.

@learning_with_irving4266 7 месяцев назад

That's the end goal, is that what you mean? No pun intended

@adjoaintsiful2699 3 года назад

Very helpful. Thank you

@nourjiheneagouf8780 Месяц назад

Thank you very much for this explanation !!!

@rajeshlenka5894 2 года назад

Wonderfully explained

@rizuri789 2 года назад

thank you, it's easy to understand

@asbinanceasbinance1473 3 года назад

This is nice, short and knackig :). Thanx!

@StevenBradburn 3 года назад

You're welcome!

@shayistamajeed9889 2 года назад

Thank you for this video

@Dr.UdaraSenarathne 2 года назад

Thank you very much!

@juanjavierquinoluna3751 Год назад

very clear, thnaks a lot

@lavneetkaur3389 2 года назад

Excellent explanation👍👍

@michellecamacho5570 3 года назад

Great explanation it helped me a lot with my data interpretation, thank you so much . Parting from here, would be great to have something like how to chose the proper statistical analysis for the data we are interpreting. It is yet very confusing

@urielmilo3681 2 года назад

instablaster...

@davidjones5319 3 года назад

Great explanation! Thank you

@StevenBradburn 3 года назад

You are welcome!

@nis7184 Год назад

Thanks 🙏

@Vinit_Gambhir 4 месяца назад

Thanks ❤

@worldofinformation815 2 года назад

Thank you Sir

@pel513 3 года назад

Very nice and easy to understand, thanks

@StevenBradburn 3 года назад

Very welcome

@mouldingsimulationsplazolo3571 Год назад

Great video

@couragee1 2 года назад

thank you

@AlessandroZir 2 года назад

thanks!

@jsbt4926 3 года назад

Perfect

@aaronecelph.d9728 Год назад

Thanks

@d.w.a8122 8 месяцев назад

Thank u

@pascalsigel 2 года назад

note: if p>0.05 you not accept the null hipothesis, just fails to reject it. it is not the same.

@sayantan.mukherjee 2 года назад

what does that even mean ? if p < 0.05 we reject null hypothesis and if p > 0.05 we retain the null hypothesis statement. It's that simple, please don't confuse the world.

@PiduguVijay 4 года назад

Hi can you please make a video on ROC Curve and AUC curves using Graphpad. I appreciate your efforts.

@sunnyyoda5511 4 года назад

Your videos are absolutely amazing!! How do you prep your video? Do you do it in powerpoint, and do you use graphpad to make these graphs and figures? How do you also lay your graphs/figures on top of each other?

@StevenBradburn 4 года назад

Thanks very much :) For this I made the graphs using GraphPad Prism and present them in PowerPoint. I add and remove data sets from the Prism graphs to make different 'layers' and animate them in PowerPoint. You can see some links to software I use in the video description. Thanks! Steven

@fatemeh5084 3 года назад

Good statistics course

@domillima Год назад

great video, thank you

@StevenBradburn Год назад

You are welcome!

@ernesttafumanei5843 Год назад

Great explanation, easy to follow and understand

@PunmasterSTP 2 месяца назад

Testing for normality? More like "Terrific video that you gotta see!" 👍 Now I'm definitely curious about the specifics of the normality tests, but I bet they're rather complicated...

@james-jamalk2629 4 года назад

Appreciate you videos a lot. Thank you!

@StevenBradburn 4 года назад

Thank you :)

@LuanNguyen-kb9zm 2 года назад

The video sound is pretty good, beyond my imagination

@zrigchafia8648 2 года назад

Hello Really i appreciate your video. I have a question!!!!! I have a negatív value in the X axis What shall I do please!!!

@kierachen6438 3 года назад

Great explanation! But I have a question. Suppose I am using likert scale to level of agreement in my study, can I use demographic variable to assess the normality of my data?

@StevenBradburn 3 года назад

Thanks Kiera. That depends on the type of data you have. If the data is a continuous variable (e.g. age, height, weight etc), then yes you can assess the normality of this data. If the data is categorical (e.g. gender [male/female]), then no. Hope that helps, Steven

@kierachen6438 3 года назад

@@StevenBradburn thanks.

@GoKu-bc8xr 2 года назад

Memerlukan lebih ramai orang jadi sebarkan video ini lebih banyak

@azmiansari 3 года назад

If the data lets say score of student is not normally distributed then what will we do? Will we use non parametric test like Mann-Whitney?

@StevenBradburn 3 года назад

Hello. It depends on what you want to do. If you want to compare two sets of continuous data that are not normally distributed. You could try and transform your data (eg log transformation) to see if this improves the distribution. Or you could use a non-parametric test, in this case, a Mann-Whitney test

@TheCW6969 2 года назад

I wonder what is the smallest number we can use the normality test.

@amylockhart8496 5 месяцев назад

I.....finally....understand 😭

@v.sakthivel4688 10 месяцев назад

Hi,process capability aim to achieve by consuming 50% tolerance When the dats are LSL to USL range we can get P value But we are fixing control limits how can get P value

@johnfakester5527 2 месяца назад

FUCK YEAH STEVEN THANK YOU BRO

@mohammedghouse235 3 года назад

How to calculate the p-value? Please could you make a short video on that?

@StevenBradburn 3 года назад

Hi Mohammed, Why statistical software do you use? Thanks Steven

@mohammedghouse235 3 года назад

@@StevenBradburn Hi, I don't use any software right now. I'm looking at the basics now. But will later be using in MATLAB.

@justrainmath8881 3 года назад

Is it safe to say that when the data are not normal, we use nonparametric tests? Thanks for reply.

@cinnaced 2 года назад

Yeah! Use nonparametric if it is not normal

@sukursukur3617 3 года назад

Why normality tests? Why dont we implement poissonity test? What makes normal distribution privileged among other distributions?

@jannua1 2 года назад

Thanks, what does it mean if the q-plot shows normality but skewness/kurtosis does not

@ernesttafumanei5843 Год назад

It means the same. Because qq measures normality and skewness measures lack of normality.

@kantamana1 2 года назад

It is not correct to either accept one or the other hypothesis! There is also the option that you can't conclude any correllation in the data.

@lgyqchen5074 Год назад

The so-called “normal distribution” is just a special case of all common unimodal distributions. It is not a big deal in the foundation of statistics.

@jurgenklopp1506 3 года назад

Who knew Lee Dixon did statistics?

@StevenBradburn 3 года назад

Thanks Jurgen. Hopefully my statistics is better than my Arsenal performances

@bentrayford6132 3 месяца назад

Analyses don't assume that the population is normally distributed though. Is that the argument you're making?

@rosros2795 Год назад

My answer to your quiestion are you normal or not is :if you have listened all these ramblings about normality - you are definitely not normal ,wich is not necessarililly a bad thing...