I've watched many videos, and attended many statistics lectures, this is the first time I truely understand what variance and standard deviation are. Thanks a lot.
I agree with Rani Gunawanti. There are so many videos to teach you how to calculate, but there are not many videos that help explain the concept behind it so that you can understand. You did a great job. Thank you!
I had to watch the video multiples of many times to get it, but it finally kicked in. It is difficult because most of us will never use it in everyday life, but researchers, engineers and chemists will.
youre the best. im doing a math bridging course in university, and i was completely lost until i found your explanations on standard deviation and variance. thank you so much
Thanks so much for actually explaining WHY we need these measures and providing examples with real-life applications! Unfortunately, most teachers just throw some formulas at you and require that you learn them. However, this leads to a very shallow understanding of the topics and only teaches you how to memorize formulas/rules. So grateful for the videos you make! Keep it up!
I REALLY DON'T WANT TO SOUND OVERWHELMED but this was the most simple and easy tutorial I loved, it made so much sense and it felt so interesting. Can't even realize how fast it ended wanted more of it at the end. Loved this keep teaching 📙
Thank you so much! This Stay-at-Home mom is getting her MBA and the data analysis course is super challenging for me. You made it very simple. Awesome.
Thank you! This was very helpful for a project I'm working on. You have a calming voice and you break things down in a manner that is very understandable. Also, love your handwriting!
WHAT I LEARNED 🟩Importance of variability: we can track/see the consistency between data. It can also help make real life decisions regarding reliable data. 1:31 🟩Measure of variance: How does the scores/data from a dataset differs from each other. The measures of variancem describes how spread /clustered the scores jn the dataset are. 🟩3 Measures of variance: 2:12 1. Range 2:38 2. Standard Deviance 4:39 3. Variance 8:08
🟩RANGE - (pros): the simplest type of measure of variance. You simply have to subtract the highest value to the lowest value. - (cons): it cannot describe fully what's happening on the other data, since it only focused on the highest and lowest value. You can MISS other info in the data. Ex: two dataset can have the same range but different data or scores + different shape in the distribution graph. 🟩STANDARD DEVIATION - describes the typical (standard) amount the the scores deviate / differs fr. The mean -(Pros): It gives additional info on the data. It help us see what is common and not common. - there are two types: Population standard deviation(ō)and Sample standard deviation(s) 🟩VARIANCE - the square of standard deviation (SD²) - it could either be: Population or sample variance. (Ō² , s²)
The best video, I have watched on why standard Deviation is important to calculate. Thanks for this. Please explain other statistical terms in the same manner.
Thank you so so so much for your videos! I loved how you explained how each measurement would be relevant, and it’s real world application! It’s been a huge help.
1. explain how you determine if a graph has high or low variability 2. Explain how you determine if a graph has high or low statistical bias. 3. Explain the difference between stratified random sampling and cluster sampling.
Hello, may I ask? If the IQ scores of 50 individuals are measured and recorded, and majority of the scores are near the median, what would you say about the variability? Thank you
I understand that we should square the standard deviation to get variance.. But how does that help? what will happen when we square the standard deviation and how does it help in measuring variability?
the symbol you're talking about (μ) is spelled "mu" (mew). it stands for the population mean, whereas x̄ (x bar) stands for the sample mean. as explained in the video, the lowercase sigma (σ) stands for the population standard deviation, not the mean.
I've watched many videos, and attended many statistics lectures, this is the first time I truely understand what variance and standard deviation are. Thanks a lot.
I’m very glad it’s helpful!
Absolutely phenomenon explanation. There is a famous saying that there are no bad students, only bad teachers and you sir, are a great one. Thank you
Agreed!
It blows my mind that such excellent information is freely available and yet it gets 1/1000th of the views. Thanks for the refresher!
I agree with Rani Gunawanti. There are so many videos to teach you how to calculate, but there are not many videos that help explain the concept behind it so that you can understand. You did a great job. Thank you!
I had to watch the video multiples of many times to get it, but it finally kicked in. It is difficult because most of us will never use it in everyday life, but researchers, engineers and chemists will.
What separates your video from all the others is that you answer the question Why Is This Useful? Thank you so much for this video.
youre the best. im doing a math bridging course in university, and i was completely lost until i found your explanations on standard deviation and variance. thank you so much
Thanks so much for actually explaining WHY we need these measures and providing examples with real-life applications! Unfortunately, most teachers just throw some formulas at you and require that you learn them. However, this leads to a very shallow understanding of the topics and only teaches you how to memorize formulas/rules. So grateful for the videos you make! Keep it up!
I learnt statistics before, I was really confused then. I found your videos 2 years later, and now I'm clear about what I'd been learning! Thank you!
I REALLY DON'T WANT TO SOUND OVERWHELMED but this was the most simple and easy tutorial I loved, it made so much sense and it felt so interesting. Can't even realize how fast it ended wanted more of it at the end. Loved this keep teaching 📙
I'm taking an Intro to Econometrics course, and your Stats videos have been a lifesaver for statistics core review. Really appreciate it!
Happy to help. :)
We need more teachers like you. Very few explain the concept like this.
I totally agree!!!!!!!
I have a stats exam on monday we had an entire week of lectures on this topic and you just explained it better in under 10 minutes THANK YOU
I also just checked out your channel and subscribed because I'm studying psychology rn and these will probably help me so much in the near future 🥰
as soon as I got into the video I saw the other side of mathematics apart from the formulae . Very good explanation
This guy is doing god's job.
Thanks so much Dr. Daniel. You are my hero.
Thank you so much! This Stay-at-Home mom is getting her MBA and the data analysis course is super challenging for me. You made it very simple. Awesome.
Happy to help!
very easy to understand. You give very interesting examples which makes the whole concept easy to understand.
Thank you! This was very helpful for a project I'm working on. You have a calming voice and you break things down in a manner that is very understandable. Also, love your handwriting!
Thank you so much for helpful information about Range, SD and Variance. I am looking forward to watch all of your videos,
WHAT I LEARNED
🟩Importance of variability: we can track/see the consistency between data. It can also help make real life decisions regarding reliable data. 1:31
🟩Measure of variance: How does the scores/data from a dataset differs from each other. The measures of variancem describes how spread /clustered the scores jn the dataset are.
🟩3 Measures of variance: 2:12
1. Range 2:38
2. Standard Deviance 4:39
3. Variance 8:08
🟩RANGE
- (pros): the simplest type of measure of variance. You simply have to subtract the highest value to the lowest value.
- (cons): it cannot describe fully what's happening on the other data, since it only focused on the highest and lowest value. You can MISS other info in the data.
Ex: two dataset can have the same range but different data or scores + different shape in the distribution graph.
🟩STANDARD DEVIATION
- describes the typical (standard) amount the the scores deviate / differs fr. The mean
-(Pros): It gives additional info on the data. It help us see what is common and not common.
- there are two types: Population standard deviation(ō)and Sample standard deviation(s)
🟩VARIANCE
- the square of standard deviation (SD²)
- it could either be: Population or sample variance. (Ō² , s²)
Thank you 🙏 😭
Am so happy coming across this lecture... May God bless u for saving me from confusion... 😁😁😁
You do us all a great service... thank you!!
The best video, I have watched on why standard Deviation is important to calculate. Thanks for this. Please explain other statistical terms in the same manner.
This is so nice for anyone who is curious. Thank you.
Wooowwwwwwwwwww.... Great way of explantion and greatest contents tooo........
I'm taking a summer probability and statistics for engineers course, and your videos are helping a bunch. Thank you for sharing!
You made me fall in love with statistics. Thank you so much 💓.
Your explanation is crystal clear. Thank you
Thank you for this easy to follow and well explained reason for why we use SD
Great information, presentation and clarity. Thanks for sharing
this really helps me, especially that we are in online school
For a non math student this was soooo great!
This is amazing. The work up from mean,range, to standard deviation, really helps
hello Professor Daniel, this video really helped me a lot, Im taking Psych course right now.
Thank you so so so much for your videos! I loved how you explained how each measurement would be relevant, and it’s real world application! It’s been a huge help.
Happy to help!
Great Job Sir
Wow explaination.... Loved learning the concept rightly. Thank you!
I am so glad that I found your videos. By all means, this is the best. Many Thanks
Hi , I am unable to find the next video please
U just earn a one subscriber
Thank u sir
Thanks its been awhile since ive done stats and needed it for work. This video was helpful.
Phenomenal explanation! Thank you
Excellent explanation well done sir!
Very well explained, thank you
And you speak so clearly, it helps
YOU SAVED MY NEW BORN CAREER!!! THANK YOU!!! lolll
Thank you so much for these videos. They are amazing and I understood them thoroughly. Please keep up the great work!!!
Excellent explanation
Thanks sir
Very well explained. Well done Daniel👍
Nicely explained.. awesome
1. explain how you determine if a graph has high or low variability
2. Explain how you determine if a graph has high or low statistical bias.
3. Explain the difference between stratified random sampling and cluster sampling.
Thank you so much! I've been wanting a better explanation of it and this video helped me understand it a lot!
My pleasure!
Wow, very well done.
Just a question : How did you come with the percentages (about time stamp 7:20)
Thank you for such an informative video, easy to understand 🙏
Amazing content , thanks
Awesome explanation!! Thank you!!
Thanks you sir love From india
Thank you so much for these videos. You have made stats so easy. I was dreading to do this topic, now I think its not that bad after all. Thanks again
hello ... very soft, nice , and easy explanation
man great video! Really helped me ALOT!
Great video!! Thanks Daniel!
This is so obvious a benefit In analysis of anything. Should be a minimum requirement in high school.
Thank you! I needed something to remind me simple statistics for my project and that is exatly what I needed.
great video! it helped me a lot with grasping these concepts. i've never understood them before, i get lost in the language.
Hello, may I ask? If the IQ scores of 50 individuals are measured and recorded, and majority of the scores are near the median, what would you say about the variability? Thank you
Great video. Thank you. Subscribed
I understand that we should square the standard deviation to get variance.. But how does that help? what will happen when we square the standard deviation and how does it help in measuring variability?
Just a minute in and wow great explanation
This is excellent. thank you so much
How you calculated the percentage? Is it predetermined?
Very nice and clear information. Thanks for this video. Please give me a link for the next video Thanks
really nice.😘👍
Helps me to understand the topic from my prof
nice video liked it
I love you, thank you so much!
What if some of the values are negative, then the CV is also negative, but should it be converted to absolute number?
How did you get the mean
So valuable. Thank u
You got one more subscriber.. :D
It was so useful 👌
Great explanation!! Thank you
when do you make the sequel
Thank you!!!!!!!!!!
Thank you
very good
THANK YOUUUUU
In my books mew is the symbol for the mean not sigma?
the symbol you're talking about (μ) is spelled "mu" (mew). it stands for the population mean, whereas x̄ (x bar) stands for the sample mean.
as explained in the video, the lowercase sigma (σ) stands for the population standard deviation, not the mean.
thanks
Where is the next video? Tnx
Good
GOAT
Pick medication A and switch to B if the results are suboptimal.
how did we get to 68%, 95 %, 99.7 % ?
My main takeaway from this is that Sigma has Elvis hair
That’s all I really wanted anyone to get out of the video honestly.
shawt out sa mga binigyan ni maam juvy ng link
😚
"good for you. not very impressed". I will do better
beautifully described - thanks
nice video liked it
Thank you