Statistics 101: Is My Data Normal?

[@sahb8091]

I refer my friends and my girlfriend here whenever I'm stumped by statistics. I also appreciate the encouraging words at the beginning, you sir have that rare quality of encouragement that sounds genuine rather than condescending. Thank you for all your hard work.

[@mikeguastaferri4943]

Brandon, I suspect I fall outside the 'target audience ' that you imagine when you post these videos. I am a sixty-something machinist using S.P.C to try to control a C.N.C milling process. I found, much to my chagrin, that I need some grounding in statistics to draw useful inferences from my data. Your videos were the best introduction to statistical thinking I found on the Web. Good Work, in every sense of the words. Thanks very much for doing these.

[@rhoninpowers]

Mike...I could not agree more. Through Brandon I feel like I am rediscovering Statistics again...but now empowered to explore my own interests within what's being taught and my own curiosities.

[@ricardoafonso7563]

. Just turned 60 . Look at the world around........ never too late to learn .

[@buiyin]

your intro make me feel calm because i'm struggling with spss right now.

[@BrandonFoltz]

Thank you so much for your comment! :) I am very glad you found it helpful. All the best, B.

[@elizabethbright6890]

Wow! You made me want to cry! I'm struggling with an online nursing research course and your introduction was the best peptalk I could have received! Thank you!

[@rigae2]

same here

[@pradeepcghai]

You are such a fantastic teacher .You explain so well even the finest details are clearly understood.Thankyou soo much . Please keep on supporting with your good work. God bless you !

[@BrandonFoltz]

+PradeepC Ghai Thank you so much! I've been fortunate to have great teachers my entire life. I just try to stand upon their shoulders.

[@Surya42930]

Your insight towards making the data visual & then trying to explain the very purpose of the concept is amazing...You are the best mentor I have found in my life....Thank you Brandon

[@rajatbhatheja356]

I am not sure who are these 18 people who disliked this video. You are an awesome teacher. All your videos are great.

[@beautyisinmind2163]

best channel to learn statistics for Machine learning

[@AnneCalie]

Hello, I just wanna say you are an excellent teacher and a wonderful person. not only are your explanations very easy to understand, but your motivational speech is inspiring. Thank you for sharing this!

[@moonprism10]

I second this question! What does one do next if the data is not normally distributed?

[@BrandonFoltz]

Thanks Rahul! I am working on a new one right now on 2-Way ANOVA. With a full-time job and the complexity of the topics and work I put into them, they take a bit longer to make at the moment. But I am working on it! :) Best, B.

[@Denisediane1]

You are the best explanation I have found. Great job.

[@guptagsaurabh]

God bless you! Brandon you are better than Ivy league professors who have their videos uploaded. After all Teaching is more about communicating rather than demonstrating technical expertise ;)

[@irishlobster]

Yes, thank you for that wonderfully motivating intro. You have no idea; my struggles.

[@vanglequy7844]

Hi Brandon, A lecture on how to find the best distribution for any dataset would be very interesting. Of course background of the dataset is more important to determine which distribution it follows, but finding best match distribution is still good for confirmation or exploration on not well-known data source.

[@NandishPatelV]

For the first time I understand the different graphs in relation to probability. Thanks! KeepSmiling 😊🌺

[@MusafirHoonYaro]

Very good video with very clear explanation and effective visuals. Thank you for taking the time to make these videos available.

[@cybertirtha]

Hi Brandon. You are a star. Thank you for your willingness help people like us. I like and appreciate the clarity of your facts/observations presented here.

[@cybertirtha]

Hi Brandon. Just a small query and will appreciate your observations. I have a large dataset for statistical analysis (specifically for ANOVA and linear regression) and currently wondering whether a visual idea of the p-p plot of the same is enough to analyze their normality. Is there any threshold statistic (a value) to consider for the plot to confirm normal distribution of the data? Many thanks.

[@alxms10]

Thanks very much for your videos and making our life easier. Two quick feedback points: The first video (Understanding Z-scores) in your list should be at number 4 on the list The last (Is My Data Normal?) should probably move to another playlist (I guess at end of PL06 but please check as you are most familiar wit your lists) Thanks

[@ranjitpalsingh2787]

Agree With Mr Pradeep C Ghai. Watched your video today Only. It is great.

[@celestegoodnight3387]

very helpful for someone like me trying to gain a foundation of knowledge to build on!

[@aureliohess9349]

The best stats teacher EVER!!!

[@mohammadalitorabi5626]

impossible to teach better than this

[@joshuah2786]

Brandon Foltz: great video! working on my M. S in biology and these videos are really helping me get through the initial stage of basic data analysis for my data!

[@vishalsonar1510]

its been 8 years how are you ??

[@RebeccaDavison1]

Hi Brandon, I never leave messages usually but I just had to say thank you because this video is excellent. Very best wishes, Rebecca :)

[@andrecae1]

Great content and explanation. Thanks!

[@andrewkinsman6137]

Great series. I'm not sure why this video has been assigned to PL03 though. You start by mentioning all the other videos on the various probability distributions that you have made, all of which are in PL05 and PL06.

[@farmad100]

Excellent explanation of normality concept

[@nebyouyonas3496]

thank you Brandon for research around the world who needs more statistics your product is useful. thank you again and keep it up

[@zenamarwan2932]

Thank you so much ..you are so supportive and encouraging.. I am so grateful to your kindness and great way of explaining all of these terms.

[@JoarderMdSarwarMujib]

Great video for ppl like me who have shallow knowledge about the topic.

[@BrandonFoltz]

Joarder Md Sarwar Mujib Thank you so much! Glad to have helped deepen your knowledge a little bit. But you took the time to watch and for that I am very appreciative. Best, B.

[@marcymiller7510]

Thanks for the encouraging comments! They do not go unnoticed :).

[@viggojuhl2471]

Great explanation. You speak loud and clear which made it very easy to understand. Consider cutting some of your introduction. It was very long. Otherwise great job.

[@mhalgas]

Thanks a lot. Veeery useful, simple and clear. I wish i had had a teacher like you in my lycee. Good work.

[@FPrimeHD1618]

I subscribed just because of that motivational speech at the beginning...Now to watch the lecture.

[@apamwamba]

Do you have a video on shapiro , kolmogrov tests etc.. i like the graphical inspection of the data

[@rajalb]

That intro made my day! ❤

[@dhavaldwivedi]

Very nicely explained. Thank you sir.

[@MusafirHoonYaro]

Hello Brandon - do you have a video dedicated to q-q plots in the context of a simple linear regression between one independent variable and one dependent/response variable? Thank you.

[@zaireadams100]

I really like the way you explain material.

[@IvCastilla]

Hello Brandon, the fact of mean=media=mode can be used as guide to find what distribution follow our data ? I mean, as a first step for know what distributions we must consider or not consider? If yes, what can be the tolerance between them? Thank you for all your videos, they are very good and useful. Ivan Castilla

[@debiprasadmohanty8707]

Sir I m a big fan of urs. Really thankful to you. But I find it a lil difficult to search in particular ur videos on a few topics.. U r the one who taught me stats...god bless you...

[@Denisediane1]

I am also looking for very simple 101 Statistics like these. Do you have a list of "order" of the video that I could watch. (I am 61 and just starting my PhD, it has been a long time since I had to do statistics.

[@zeinhaddad2937]

Do you have a PL02 somewhere? I feel that I have missed some lessons but I cannot locate it on your playlists list! Thanks for your helpful videos.

[@SMHLK218]

Best video on this topic!

[@jennymil33]

So what can do with the data I have that is Not Normal, now that I watched your video and I have to present the data. My data was all over the place and the histogram had 2 gaps in it. Please help

[@utubemania9079]

You saved me bro.Thanks a ton from India.

[@BrandonFoltz]

You are welcome! But you saved yourself by pressing the play button. 🤟👊 Stay strong and keep learning. You got this.

[@authenticspirituality]

what kind/type of variables are we testing by using normality test please? i have so many and dont know which ones i need to test test. thanks

[@deyanirabalboaarteaga8956]

Thanks for the great content and your encouraging words!! You are making me like statistics more.

[@KinkyDinky20]

why are the dots at the end of the whiskers not outliers? i thought all values beyond the box plot whiskers are outliers? or is that wrong?

[@dinasamir2778]

please , what is the book you are explain ?

[@Mikeybikey88]

Thank you! Your videos are a GODSEND!!!!

[@nislau03]

Clear Explanation! Thank you Brandon.

[@M0NiiSiiA]

Thank you for your help! Definitely helping me right now with my stats class!

[@BrandonFoltz]

Hello! Unfortunately there is no easy answer as for what to do when the data is not normal (or why it's not normal in the first place). It could be because the population is not normal. It could be a sampling or data entry error (it happens). The sample data could be put through a transformation such as logarithmic. Different procedures have different tolerances for non-normal data. Non normal data is fine, it just depends on what you plan on doing next.

[@Inexorablehorror]

Hi, you are constantly talking about the "normality" of the data and that you should check if the data is normally distributed, BUT for the linear models, it is not necessary that the data is normal. It is about the errors that should be normally distributed for the inferential part. For example, in a t-test as simplest form of a lm, if there is a group effect, I would expect the data/dependent variable to be bimodal, so absolutely not normal. Or what do you mean by "data"?

[@layondamillsap1580]

Thank you so much for posting this. It was very helpful

[@mohammadal-abbasi7247]

Great Video man. Clear and Informative. Thanks!

[@delcapslock100]

Brandon, I hear two mantras in stats that appear to oppose each other, and was hoping you could clarify: one is that it is very important to determine whether your data is normal, and the other is that because of CLT, it doesn't matter what kind of distribution the data comes from because the sampling distribution of the sample mean will be normal (given adequate sample size, etc.), Am I misunderstanding something? thanks, Paul

[@Malzen66]

Great work! Could you consider doing a video on half or folded normal? How do you work with bonded data i.e 0 and above? Thanks for your help

[@Lukegi88]

Great video! Please keep helping us.

[@adelushka]

such an inspirational introduction

[@diegopedreros9363]

Brandon, thanks very much for the videos, do you have one on percentiles?

[@praveenshahapurmath834]

Excellent Lecture. Thank you so much for your videos Sir.

[@alextheo7862]

Well I gotta say that you helped me a lot with this video. Im on my Bachelorthesis and I write some critical words about the normal distribution and daily stock returns. Now I plotted a lot of graphical stuff but i need some statistical tests. Do you have videos about the KS-Test, JB-Test and Hurst-Exponent. (interpretation and how it works) I have no statistical software. I have to work with excel. thanks regards from germany!

[@francesco.bellomo]

Hi Brandon, you videos are great! May you let me know where I can find the Statistics 101 PL02?

[@jakobmelbye3887]

Thank you for the video, and the nice words in the intro :)

[@uonliaquat7957]

what's the order of playlist?

[@MrSaurabharena]

Simply Awesome.

[@edflores4843]

Hi Brandon, just want to comment that on the portion of stem & leaf and box plot. You said that "Median is pulled towards low end" --> this is mathematically not true because only the Mean or the Average of the data is pulled and not the Median which is always the middle data.

[@dribrahimel-nahhal2477]

Thank you! Simply Awesome videos. Pretty excellent explanation.

[@whoisaiahmoore9100]

What does the -3, -2,-1 represent on the X-Axis? Is it not the range ?

[@Saaaeeda]

thank you for a nice explanation but stem and leaf plots are still not clear to me.

[@justinatuulikefonangolo5509]

Thank you very much for this informative video.

[@valor36az]

Sir thank you for all these videos

[@shaewicks]

start video by making me want to cry? >:(

[@hananmohammed4840]

my sampling is non- probable technique.do i check my data for normality?

[@_Chafia]

Thanks a lot it's very helpful.. a question please..what do to if we have a bimodal distribution? can we make an AOV separately for each population.. And please can you make tutorials with R...Thanks!

[@YasirKhan-mb1iy]

Video is great but you put this in wrong playlist,please if possible arrange videos according to title of playlist.

[@Tru.Creations]

can you do a video on linear programming?

[@EdgarMartinez-ub2oo]

i love you man. foreal foreal. God bless you!

[@fatriantobong2097]

but isnt CLT solves everything when we sample adequately?

[@mohsentakesh2524]

Thank you very very much for this great video.

[@nazda529]

the most perfect video

[@newyorksharp]

Great job again!! James N Zeris, CPA

[@themortgagechics_chronicles_ca]

Thanks soo much Brandon!

[@aboalhoss5600]

Thanks for your videos, it helps :) and is easy to go to.. Keep up the good effort with sharing your knowledge.

[@shivaprasadreddy463]

Excellent!

[@BrandonFoltz]

+Shivaprasad Reddy Thank you!

[@chryssokonofua1109]

Nice video. Thank you.

[@marialaureano3334]

You're so sweet! The intro is awesome, I had to hear that m, thank u😣

[@laaxmi1966]

very good session

[@emiltimlin5777]

Really like your videos!! You say in this video that you will do a seperate video for p-p plots and q-q plots but i can`t find them :/

[@anitarebecca6009]

VERY USEFUL.

[@ojd3708]

So not all data is normally distributed, but we assume it is for our own convenience. Especially for scientific analysis

[@hdjksa52]

Thanks a lot. Prob stat is a pain!

[@romanvasiura6705]

Thank you!

[@khan044]

Thanks for sharing

[@pinkyc7328]

You r the Best!

[@Ag8MrE]

Pedantic, I know, but data a plural - data are, not data is. Otherwise a good resource.

[@BrandonFoltz]

+Ag8MrE I received my only C in high school freshman English :) It shows sometimes! Luckily I took to math and science.

[@Ag8MrE]

:-)