Measures of Variability (Range, Standard Deviation, Variance)
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- เผยแพร่เมื่อ 1 ก.ค. 2024
- In this video, we'll learn about five different measures of variability: range, sample standard deviation, sample variance, population standard deviation, and population variance. We'll begin to see a few formulas for these measures of variability, which we'll get some practice with in the next video.
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 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!
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
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'm taking a summer probability and statistics for engineers course, and your videos are helping a bunch. Thank you for sharing!
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!
Thanks so much Dr. Daniel. You are my hero.
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!
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.
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. :)
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Great information, presentation and clarity. Thanks for sharing
This is amazing. The work up from mean,range, to standard deviation, really helps
Thank you so much for these videos. They are amazing and I understood them thoroughly. Please keep up the great work!!!
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!
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Your explanation is crystal clear. Thank you
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We need more teachers like you. Very few explain the concept like this.
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Wow explaination.... Loved learning the concept rightly. Thank you!
man great video! Really helped me ALOT!
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.
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Phenomenal explanation! Thank you
very easy to understand. You give very interesting examples which makes the whole concept easy to understand.
as soon as I got into the video I saw the other side of mathematics apart from the formulae . Very good explanation
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this really helps me, especially that we are in online school
Very well explained, thank you
And you speak so clearly, it helps
beautifully described - thanks
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My pleasure!
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Great video. Thank you. Subscribed
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Just a minute in and wow great explanation
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great video! it helped me a lot with grasping these concepts. i've never understood them before, i get lost in the language.
So valuable. Thank u
It was so useful 👌
This is so obvious a benefit In analysis of anything. Should be a minimum requirement in high school.
Helps me to understand the topic from my prof
Thank you
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really nice.😘👍
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
Very nice and clear information. Thanks for this video. Please give me a link for the next video Thanks
nice video liked it
THANK YOUUUUU
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.
Just a question : How did you come with the percentages (about time stamp 7:20)
thanks
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?
very good
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 🙏 😭
How you calculated the percentage? Is it predetermined?
What if some of the values are negative, then the CV is also negative, but should it be converted to absolute number?
Good
when do you make the sequel
Pick medication A and switch to B if the results are suboptimal.
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Where is the next video? Tnx
how did we get to 68%, 95 %, 99.7 % ?
😚
"good for you. not very impressed". I will do better
Great explanation!! Thank you
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Thank you