Normal Distributions, Standard Deviations, Modality, Skewness and Kurtosis: Understanding concepts

[@shadexdemarr]

As an instructor myself I wanted to commend you on your ability to explain a difficult concept without talking over the listener's head. So many videos get so caught up in the math and details they often forget how important it is sometimes to simply explain what's going on in terms anyone can understand.

[@angelineallaire7073]

As a novice to Statistics your ability to educate by captivating the learner is a tremendous skill set not found in many instructional videos! THANK YOU, and well done!

[@Tramadoon]

Thanks for the video. Lepto means narrow (or thin) in Greek. Platy means wide. Just thought I'd throw that out there in case it's useful to anyone.. thanks again for the video!

[@mendicant1981]

you basically summed my two hour lecture into a five minutes video whilst also making it very simple to understand. thank you!

[@Samira.Khademrad]

I’m a master student and I finally understand this part of statistics with your fantastic teaching method. I wish I had found you sooner.

[@keishawhite349]

These are very clear and simple descriptions for very mud-like processes! Thanks so much. I am going to share with my Ed.D. Ed Leadership cohort. You rock!

[@albertroches7216]

Thanks very much from Belize. Short and to the point, but very effective. Never seen so much info presented so clearly in such a short time. Thanks again and great work.

[@NurseKillam]

Thanks :) ... It definitely takes some effort to accomplish that.

[@sweetsixtyn4402]

This is the best explanation I've found on KZbin. Thank you!

[@biafgaspar]

It is important to highlight that the Kurtosis they mention in the video is the so-called "excess kurtosis" which has the value of 0 in the case of a Normal Distribution. Kurtosis, on the other hand, is 3.

[@praisethesun9434]

Thank you. I have been searching for a good video on distribution curves and this is the best one. It answered all my questions. Much appreciated

[@catirerubio]

Statistics is still beyond confusing but this video helps. No longer dazed and confused, just confused. Thanks for making it.

[@keishacarr3063]

Definitely one of the best simplified mini lessons for statistics!

[@NurseKillam]

I'm happy you liked it

[@bmpatel1281]

Thanks

[@NurseKillam]

+Josh Uddin yes. I'm a nurse and teacher.

[@zahidhasan1175]

thank you ma'am it was very helpful for me :-)

[@pamvera]

This video is the first on the subject to really help me understand. Thank you for the clear explanation :)

[@NurseKillam]

You are welcome :)

[@JayGhiyaGoogle]

This one is quite helpful and understands concepts from a visual perspective. Kudos to @Nursekillam

[@HabibBector]

Wish me good look for my Exam at 9.30AM and its already 3AM. Your content is really helping. Have not attended a single class for the subject. Wish me luck guys.

[@NurseKillam]

Good luck! In my opinion attendance does not equal learning .... hopefully you were able to learn in other ways.

[@rmcginnis8157]

Thank you!! Just started my doctoral program and needed some further assistance!!

[@shanehixson1313]

Just what I needed. good clear explanations. good audio, good visuals. Keep up the good work.

[@awekemoges7317]

professionally simplified, as a step towards heading to the complex understanding. Great!

[@siannix07]

. very nice .. i was absent during our class discussion regarding this topic . and it's our exam tomorrow .. and i think i can pass. thanks for this ..

[@frostice961]

I know this is too late but uh. Did you pass?

[@6clonedcows]

3:24 I'm pretty sure the reason why we have more positive skews than negative skews is because the majority of the numbers we work with are non-negative, meaning there's a lower bound, i.e. 0, but no upper bound. For example, if you're measuring the amount of time it takes for someone to take a test without time limitations, it's likely that there are going to be outliers, people who take a really long time.

[@halimselim6743]

interesting view, cleared my mind thanks

[@nensikanackica]

I love how u explained it so simply! thanks

[@NurseKillam]

+Nena Miodrag you are welcome. That was my goal :)

[@RiaaXaine]

THANK YOU!! FINALLY SOMEONE EXPLAINED WHAT THE KURTIC'S LOOK LIKE

[@counselorchandru]

Wow can I adopt you as the stats teacher character in my life? You explained that articulately! :D

[@NurseKillam]

:) thanks

[@mdshahshahi8634]

This is really great. So much information in such short video with such clarity.

[@dadangsudrajat68]

It's really helping our students coz it's a very simple and clear explanation, thank you so much.

[@Tracey74R]

Thank you so very very much! You helped me to identify with kurtosis because the reading was too much in my texts.

[@chloe-mariek2488]

Thanks for this basic, intuitive explanation :)

[@NurseKillam]

You are welcome

[@samuelmcgill4110]

Very simplistic, thank you, anyone could follow specially for a beginner like me.

[@guptaachin]

Precise, to the point and complete.

[@neerjanglama]

Thank you. Your effort is highly appreciated

[@guuusha3699]

Thank you so much.you explain it in very clear manner.

[@NurseKillam]

Awesome to hear! Thanks for watching and taking the time to let me know.

[@turkmura81]

awesomely clear explanations

[@BenHizak]

Loved the mnemonics

[@sulthansk6444]

Crystal clear explanation...

[@angrypepecancer5205]

Many thanks. :) Thought it would be better if you show us how to calculated the skewness and kurtosis. Its my topic to discuss. i have a report tomorrow about this. It help me allot. Thanks again.

[@NurseKillam]

+Player Gabriel our students don't need to calculate it, which is why I didn't include it. Sorry!

[@TesserHedron]

Your videos and explanations are very good. Thanks for putting this up.

[@youngadultsuis]

Thanks very much NurseKillam. I was struggling to understand the concept of kurtosis. Yours is the best video I've seen!!!! :)

[@richardgordon]

Really excellent explanation! Many thanks 🙏

[@tiffanyl2899]

this is still helpful today. statistics midterm in 4 hours.

[@elsanto8505]

Thank you for your time. It's a valuable information that it helps me with my class.

[@NurseKillam]

+Charles Spurgeon So good to hear

[@sumehcrew]

I would like to know what it means when I have a positive or negative skewed of results.

[@SharafatAliPK]

Comprehensively explained

[@youhenok]

NurseKillam you had a nice video, a superb one......1000likes goes to you...we need more about statistics as you did it

[@NurseKillam]

Happy you liked it :)

[@Kebedia1]

Very helpful. It is short and clear

[@NurseKillam]

I'm glad you liked it.

[@kunaladhikary4937]

this video is very helpful for the beginner. thank you so much ma'm.

[@samanthapikus3178]

Thanks.. Great video... You talk a little fast though, but you are clear and have a great voice.

[@arupnayak555]

Thank you. Your videos are helpful.

[@jurgenpeci6810]

Thx so much for this explanation. Very clear and helpful.

[@NurseKillam]

Awesome to hear. You are welcome :)

[@austinb3560]

Thanks for simplifying this

[@subekshadahal1424]

Really great video tutorial. It is useful for beginner and expert as well.

[@BLKWDWENT]

Nursekillam I legit love you!! your video is awesome!!

[@subekshadahal1424]

Really simple and perfect expalanation.

[@heetgorakhiya2242]

Its Great! Helped me with the basic, but you should make detailed videos. I'd love it!

[@fawazkazeem9132]

Thanks for the simplified Explanation 🙏 Pls, how do we solve different problems concerning Skewness and Kurtosis?

[@DaRealTowStarr]

Nice and simply put. Would anyone explain (In simple terms) what effect taking the natural logarithm of a scale that has a high kurtosis value.

[@chewechishala3622]

Precise and straight to the point! very heplful..thanks!!

[@brendalovelady]

Great explanation and easy to understand thanks for the visual.

[@Ayuk1]

Great explanations. Thank you

[@tnasucks1444]

Thanks soooo much! Great Clarity, in your speech and in your presentation! Excellent!

[@NurseKillam]

Thank you!

[@EyoAsuquo-gl2gh]

So good at Statistics and you studied nursing. Wow.

[@kidssharon]

Very helpful! will be looking for other videos from you on Statistics~

[@NurseKillam]

+Sharon T Thank you. I hope to make more soon. Is there anything you need in particular?

[@breannedewolf677]

I loved the video, although it did feel a little rushed. Maybe slowing down just a little bit? The information was so amazing and well worded though! Thanks so much!

[@NurseKillam]

Thanks for the feedback. Slowing down is my biggest challenge. It's hard to find a balance between boring and hyper-speed. Im naturally a fast talker. I'm happy you liked the content though :)

[@TheSevenofMine]

The video was very good, but I would have liked to get an explanation of excess kurtosis and its difference towards kurtosis as well.

[@NurseKillam]

That would be a good topic for another video. This one was aimed at undergraduate students who don't really need that much detail. I'll add that to my ideas list and let you know if I come across any other videos that are well done.

[@TheSevenofMine]

I'm an undergraduate student studying Forensics and I'm preparing for an exam in Measuring Techniques and Statistics (and yes, I think we're going into much more detail than would be necessary^^). I've understood the relevant difference now, but it would be great if you added it in another video :) thank you

[@prajwol_poudel]

3:06 skewness=(mean-mode*)/S.D or skewness=3*(mean-median)/S.D

[@redwhitegreen]

Good video, very helpful. One correction, for central moment, Kurtosis of norm. dist. K=3 So mesokurtic k=3 Leptokurtic has K>3 Playkurtic had K

[@NurseKillam]

I'll go back and check my sources. Thanks.

[@kristania411]

holy moly, helps a lot! taking statistics online!!

[@NurseKillam]

+Kristania good to hear

[@Yahmalichiah]

Thanks for this. I kept coming across these terms and just could not understand the 'fat tail' analogy!

[@FluencyAccentCoach]

Explained well. Thank you.

[@mharry87]

Thank you NurseKillam for the wonderful video.

[@NurseKillam]

You are welcome

[@bgbzero]

What's the significance of leptokurtosis? Is it not good that most of the test scores are near the mean?

[@preludefugue4859]

another question, if the mode = median = 0, and mean = 0.18 units, what does this distribution can be? skewed ?

[@leejohnson197733]

how could i compare 2 graphs with similar info with a change to the median and deviation but compare the same gap on each graph ?

[@iuliaflorescu9070]

Very useful presentation! Thank you!

[@mzcontaantiga]

Hi, great video! So when the distribution is said to have fat tails, that means it is Leptokurtic?

[@bilalalam9926]

hi. very nice. but i hav problem with my research data that skewness touches -2 . can u help me out with this issue? and what does it mean

[@khurramalimubasher1238]

Excellent, just a little more guidance how do we use all this in finance ? specially portfolio. Regards

[@NurseKillam]

+Khurram Ali Mubasher sorry. I'm not a finance expert... I'd imagine some of it is applicable but I'm not sure how.

[@khurramalimubasher1238]

no worries thank you for knowledge :) tc

[@happyangelmarquesrs]

Thanks from Brazil! Obrigada! :)

[@NurseKillam]

You Are welcome

[@nknnithinabc]

Thanks,ur explanation is simply superb

[@NurseKillam]

I'm happy you liked it :)

[@jacobmitchell85]

what about a non symmetrical bimodal graph, how would you decide if it is positive or negatively skewed?

[@hosseinrafiei6465]

Awesome presentation. So happy I watched the video. Thanks so much :)

[@HafizahHoshni]

Simply excellent. Very grateful for clear, concise and well presented video. Thank you for the great channel. 27/8/2018 😊

[@sukursukur3617]

Why do we calculate standard deviation by using mean? Namely, why dont we use mode instead of mean?

[@donnalastica3108]

Very good video. Thanks for posting it.

[@dr.mahmoodazadi6032]

It was really helpful, easy to learn , Thanks a lot

[@patwheeldn9555]

Fabulous explanation ... thank you!

[@NurseKillam]

+Pat Wheeldn thank you for the compliment :)

[@SunnyKumar-ew3gw]

very nice..solved my concerns. Thanks

[@NurseKillam]

I'm happy it helped.

[@hemalatha5442]

very well explained....

[@zeeshanismail1284]

Doesn't it have to be 3(mean- median ) for skewness ?

[@TheSar818]

Nice Video ! Keep up the good work !

[@mohammadsaqib1400]

Your data set has missing values and is positively skewed with skewness = 1. Further examination tells you that they are spread along 1.5 standard deviation from the median. How much data would remain unaffected (Tell us the %). Why?

[@sintakristanti6108]

Very informative with all those figures, thank you so much!

[@smilebake111]

thanks for such crisp information. i have one query.. if the values of mean=97.66, mode=98 and median is 97 then what will be interpretation about skewness? kindly reply

[@NurseKillam]

You could calculate it but basically I'd say it is almost perfect (no skew). Nothing is perfect in real life.

[@Pufferfish28]

Great information! Perfectly articulated, but personally I would like it if you could slow it down a tiny bit. :)

[@shubhamkmr900]

It helped me a lot. Thankyou .

[@bronwynmastrangelo2564]

Excellent !! Very helpful !!

[@NurseKillam]

I'm happy it helped :)

[@appagi]

Very helpful. Thank you very much

[@NurseKillam]

You are welcome

[@JakeTorres0206]

Hi, your video is good..Can I use this one for my multi-media studies?

[@LAGHRISSIAdnane]

جزاك الله خيرا، Thank you

[@gaelmboussaanga8073]

Well explained and thank you so much.