Percentiles, Quantiles and Quartiles in Statistics | Statistics Tutorial | MarinStatsLectures
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- เผยแพร่เมื่อ 26 ก.ค. 2024
- Percentiles, Quantiles, and Quartiles in Statistics and Probability with Examples; Learn about percentiles/quantiles, 50th percentiles, 90the percentile, quartiles and more with Prof Mike Marin.👉🏼 Calculating Percentiles and Quantiles with R ( • Calculating Mean, Stan... ) 👍🏼Best Statistics & R Programming Language Tutorials: ( goo.gl/4vDQzT )
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This statistics video tutorial introduces the idea of a percentile/quantile, as well as a few specific percentiles/quantiles often reported (quartiles). It is important to mention that there are many different accepted ways to calculate a percentile/quantile in statistics. we will not discuss the details of all the different ways that this can be done. You should not focus on how to calculate these by hand, but rather focus on what they are conceptually and what info they tell us.
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In this #statistics lecture we learn about the idea of a percentile/quantile, as well as a few specific percentiles/quantiles often reported (quartiles). There are many different accepted ways to calculate a #percentile/#quantile. Here we will not focus on how to calculate these by hand, but rather focus on what they are conceptually and what info the tell us. 👩🏻💻To calculate Percentiles and Quantiles using #RStats software watch this video ( th-cam.com/video/ACWuV16tdhY/w-d-xo.html ) Like to support us? you can Donate ( bit.ly/2CWxnP2 ), Share our Videos, Leave us a Comment, Give us a Like 👍🏼 or write us a review! Either way, We Thank You! 🤓You can find the Best Statistics & R Programming Language Tutorials here: ( goo.gl/4vDQzT )
thank you so much for explaining the concept. For a person like me who know nothing about statistics, your explanation is so clear that now I understand about the concept
that child's voice at the end of the videos is the cutest thing ever🥺 also, great explanation, thank you!!😃
Greetings, Prof. Marin. I want to thank you for posting all these lectures. They are life savers. I couldn't understand things in class, but your lectures are so detailed that it helped me understand even the difficult concepts.
Thank you once again.
You’re welcome! Thanks for this, it’s nice to hear :)
I loved the voiceover (of your child I would assume) at the end of the video. And great explanation too. THANK YOU!
subscribed! Thanks for this video it helped me a lot!
@marinstatlectures thank you very much for such a good video. I learned maximum statistical analysis using R from your videos and lectures. I am very much grateful to you. i published my analysis in many reputed journals after conceptualize from your videos. Thank you very much again.
And that little baby voice at the end.. just made my day! Thank you very much..
Thanks, appreciate that!
thank you
Thank you
Sir you made statistics very easy for me, very usefull course, Even in paid courses we cannot see such kind of explanation,
The real-life focus of the teaching.
concepts over calculations :)
wish I had discovered this channel sooner
If n =2,3,6,7,1/2 ,8/3 and square root of 16
Find summation x2
(Summation x)to power2
osm explanation sir
?
How the hell this gentleman writes backward? Witch?
Helpful video 👍
How should I convert this r code to sql
As. Data. Frame(quantile (probabilty),c(0.5,0.3,0.7)) ??
Hello sir! Its more than helpful to watch your videos and to learn from you.
I had a request kindly do consider it. I need more lectures about RDA (redundancy analysis) the basics and the ways to carry out. I dont have any mentor for guidance. Please help me in this regard.. i shall be thankful to you. I hope you will consider my request ASAP...
Very nice explanation. Well done! 👏👏👏
Are there any changes in the lighting or after-production? The image is much more clear with much better / true colours. 👍👍👍
sort of....the technicians at UBC Studios who run the Lightboard Studio where I record have, at times, forgotten to turn on the back/side lights which help make the screen more vibrant. we noticed it after one 3-hour recording session,....but too much work had been done to do it all over again :(
Do you ever have any problems with large sets of data, where the floating point math the software does doesn't match up with the inputs you intended to put in it?
I have to regularly process entries in the thousands; and I end up either not doing the full workups I'd like, or doing most of them by hand, because the accuracy of the calculation suffers to floating point errors, until spreadsheeting and calculator softwares diverge far enough from the input, that they won't sum up enough numbers properly.
Would a dedicated statistics software like the one you talked about in the video help, or is it just the nature of the beast when dealing with large datasets?
Great! Concepts is the most important thing
agree 100% :)
Superb platform. Which software you are using for this?
We have it available to us at UBC Studios, you can search “light board” to get a sense of how it works
This much sufficient for data science statistics???
Top top..
Are you actually writing Leonardo style or is this CG? Also, I know its just an example, but why would a grade be high or low depending on others grade(?)
excellent video! I am wondering whether you could do more videos for R application? That would be really helpful !
thanks! yes, we have plans to create a series of videos for a few different topics, like: using ggplot2, using dplyr, maybe a bit about RMarkdown, and a few others. the challenge is to find the time to make them :)
@@marinstatlectures Can't wait!
Im I the only one person that enjoys the Leonard'stlyle writing?
Before you find the value that cuts the data in half, shouldn't you order the data first?
Yes, that’s what written there in the explanation of the median. You can also see that the data on the screen is already ordered.
Thanks for the great explanation. In an online course, I found the following statement as a description of an example “The 90th percentile of incomes is $135,000: 90% of households report an income of $135,000 or less, 10% report more.”
is that wrong? Based on your video’s explanation, it should say instead “90% of households report an income of less than $135.000” (i.e. the 90th percentile is not part of the bottom 90% of observations).
Either statement is fine. For a continuous variable the probability of any particular value is 0 eg P(income=135k)=0, and P(X
he didn´t how to calculate the exact value of 40% quantile or 90% etc..
how is his brain working inverted ?