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.
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!
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!
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!
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.
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.
. 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 ..
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.
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.
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.
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!
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 :)
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.
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
Nice video. I am just familiarising myself with the concepts so it was nice and conceptually clear, but also with a chance to learn some fancy terminology on the way :)
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
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?
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.
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!
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!
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!
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.
you basically summed my two hour lecture into a five minutes video whilst also making it very simple to understand. thank you!
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.
Thanks :) ... It definitely takes some effort to accomplish that.
This is the best explanation I've found on TH-cam. Thank you!
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
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.
Definitely one of the best simplified mini lessons for statistics!
This video is the first on the subject to really help me understand. Thank you for the clear explanation :)
You are welcome :)
This one is quite helpful and understands concepts from a visual perspective. Kudos to @Nursekillam
Thank you!! Just started my doctoral program and needed some further assistance!!
Just what I needed. good clear explanations. good audio, good visuals. Keep up the good work.
Statistics is still beyond confusing but this video helps. No longer dazed and confused, just confused. Thanks for making it.
Wow can I adopt you as the stats teacher character in my life? You explained that articulately! :D
:) thanks
professionally simplified, as a step towards heading to the complex understanding. Great!
I'm happy you liked it
Thanks
+Josh Uddin yes. I'm a nurse and teacher.
thank you ma'am it was very helpful for me :-)
. 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 ..
I know this is too late but uh. Did you pass?
This is really great. So much information in such short video with such clarity.
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.
Good luck! In my opinion attendance does not equal learning .... hopefully you were able to learn in other ways.
I love how u explained it so simply! thanks
+Nena Miodrag you are welcome. That was my goal :)
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.
interesting view, cleared my mind thanks
THANK YOU!! FINALLY SOMEONE EXPLAINED WHAT THE KURTIC'S LOOK LIKE
Thank you so very very much! You helped me to identify with kurtosis because the reading was too much in my texts.
Thanks very much NurseKillam. I was struggling to understand the concept of kurtosis. Yours is the best video I've seen!!!! :)
It's really helping our students coz it's a very simple and clear explanation, thank you so much.
Very simplistic, thank you, anyone could follow specially for a beginner like me.
Your videos and explanations are very good. Thanks for putting this up.
Precise, to the point and complete.
Thank you for your time. It's a valuable information that it helps me with my class.
+Charles Spurgeon So good to hear
Its Great! Helped me with the basic, but you should make detailed videos. I'd love it!
Thanks for this basic, intuitive explanation :)
You are welcome
Thank you. Your effort is highly appreciated
Really great video tutorial. It is useful for beginner and expert as well.
Really excellent explanation! Many thanks 🙏
this video is very helpful for the beginner. thank you so much ma'm.
Thanks.. Great video... You talk a little fast though, but you are clear and have a great voice.
awesomely clear explanations
Crystal clear explanation...
NurseKillam you had a nice video, a superb one......1000likes goes to you...we need more about statistics as you did it
Happy you liked it :)
Nursekillam I legit love you!! your video is awesome!!
Great explanation and easy to understand thanks for the visual.
this is still helpful today. statistics midterm in 4 hours.
Really simple and perfect expalanation.
Thanks soooo much! Great Clarity, in your speech and in your presentation! Excellent!
Thank you!
Thanks for the simplified Explanation 🙏
Pls, how do we solve different problems concerning Skewness and Kurtosis?
Precise and straight to the point! very heplful..thanks!!
Thank you so much.you explain it in very clear manner.
Awesome to hear! Thanks for watching and taking the time to let me know.
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.
+Player Gabriel our students don't need to calculate it, which is why I didn't include it. Sorry!
Very helpful!
will be looking for other videos from you on Statistics~
+Sharon T Thank you. I hope to make more soon. Is there anything you need in particular?
Thank you. Your videos are helpful.
Comprehensively explained
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.
It was really helpful, easy to learn , Thanks a lot
Thx so much for this explanation. Very clear and helpful.
Awesome to hear. You are welcome :)
Simply excellent. Very grateful for clear, concise and well presented video. Thank you for the great channel. 27/8/2018 😊
Very helpful. It is short and clear
I'm glad you liked it.
Awesome presentation. So happy I watched the video. Thanks so much :)
Thanks for simplifying this
Thanks for this. I kept coming across these terms and just could not understand the 'fat tail' analogy!
I would like to know what it means when I have a positive or negative skewed of results.
Great explanations. Thank you
Very useful presentation! Thank you!
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
I'll go back and check my sources. Thanks.
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!
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 :)
Nice Video ! Keep up the good work !
another question, if the mode = median = 0, and mean = 0.18 units, what does this distribution can be? skewed ?
Very informative with all those figures, thank you so much!
The video was very good, but I would have liked to get an explanation of excess kurtosis and its difference towards kurtosis as well.
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.
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
what about a non symmetrical bimodal graph, how would you decide if it is positive or negatively skewed?
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
Do you have any videos on the Survival analysis?
holy moly, helps a lot! taking statistics online!!
+Kristania good to hear
Very good video. Thanks for posting it.
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 ?
Great information! Perfectly articulated, but personally I would like it if you could slow it down a tiny bit. :)
Hi, your video is good..Can I use this one for my multi-media studies?
if the kurtosis is leptokurtic, I am more likely to get an expected random variable than in the case of any other distribution, am I right?
thanks!
So good at Statistics and you studied nursing. Wow.
Nice video. I am just familiarising myself with the concepts so it was nice and conceptually clear, but also with a chance to learn some fancy terminology on the way :)
What's the significance of leptokurtosis? Is it not good that most of the test scores are near the mean?
Hi, great video! So when the distribution is said to have fat tails, that means it is Leptokurtic?
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
You could calculate it but basically I'd say it is almost perfect (no skew). Nothing is perfect in real life.
Explained well. Thank you.
Thakyou.
Can you discuss, different methods of sample size estimation. In your next video
So good👍well done!
very well explained....
Thank you NurseKillam for the wonderful video.
You are welcome
It helped me a lot. Thankyou .
Well explained and thank you so much.
جزاك الله خيرا، Thank you
Doesn't it have to be 3(mean- median ) for skewness ?
Thanks,ur explanation is simply superb
I'm happy you liked it :)
you made my life easier thank you!
Fabulous explanation ... thank you!
+Pat Wheeldn thank you for the compliment :)
Thank you! Very well explained:)
Why do we calculate standard deviation by using mean? Namely, why dont we use mode instead of mean?
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?