✅ Thanks so much for watching! ✅ You can find more videos relating to quartiles in the description. ✅ Another thing I'd like to mention about even sets of data is that the lower and upper half can be odd. This is different than the video where the lower and upper half were both made up of four numbers, so each half was even. Here is an example of an even set of data, but each half will be odd: (1 , 1 , 2 , 3 , 6 , 7 , 7 , 8 , 9 , 12) There are ten numbers in that data set. That means that the lower and upper half will be five numbers each. In that case, you will have a number directly in the middle for your lower and upper quartile. For this example the median = 6.5 (in between 6 and 7), the lower quartile = 2, and the upper quartile = 8.
I have been in a crash summer course in summer school for 4 days and was completely lost!!! You just helped me out in 15 seconds! I am subscribing and using your videos all summer! Thank you so much!!
your the best thank you i am facing a lot of problems of quartiles in life but once again thank you so much keep it up I love your video it helps me a lot on my life
Thank you for this video i left my stats class clueless about quartiles and u broke it down perfect. Thank you I will subscribe and watch more of ur math content!
but why does MS Excel and other internet tools give different answer? this is sorted data set 32,59,65,72. i was calculating quartiles, keeping in mind that this is even data set. when i do my q1 is 45.5, q2 is 62, q3 is 68.5 But! when i check online and in Excel the answers are different...
I just double checked all of my work and had two other people find the quartiles as well (wanted to get fresh eyes on this). I have all of the same quartiles from the video (the other people got the same quartiles as well). Can you please share how you got 16.75 and 33 for the 1st and 3rd quartiles?
@@MathwithMrJ I will explain but do not tell this formula to nobody(Let people only see it here). It took me damn time to come up with this: The trick is to calculate the index corresponding to a given percentile. Once you calculate the index, you will always get an accurate result. This is the formula: Index = (Percentile * (n-1)+ 1 ) Example 1: Assume that we have a dataset like this(odd or even does not matter at all) : my_list=[4000, 5000, 6000, 7000, 7500, 8000, 10000000] arr= np.array(my_list) df = pd.DataFrame(arr) Now we have a dataset from a list. How does pandas calculate quantify? Let first find Q1= 0.25% = Index = (0.25 * (7-1) + 1) = 2.5 = 5500 find Q2= 0.50% = Index = (0.50 * (7-1) + 1) = 4 = 7000 find Q3= 0.75% = Index = (0.75 * (7-1) + 1) = 5.5 = 7750 Let's do your example: my_list=[16,16,17,21,28,31,39,39] Let first find Q1= 0.25% = Index = (0.25 * (8-1) + 1) = 2.75 = 16.75 find Q2= 0.50% = Index = (0.50 * (8-1) + 1) = 4.5 = 24.5 find Q3= 0.75% = Index = (0.75 * (8-1) + 1) = 6.25 = 33 That is it, please do not share this. This formula belongs to me.
I'm happy to look into this and see if I made mistake. I did just double checked all of my work and got the same quartiles. Can you please explain how you got 16.25 and 37 for the lower and upper quartiles? That would be very helpful. Thank you and have a great rest of your day!
Shut yo ahh up bruh, u correctin urself towards a dude whos THE ONE TEACHING, maybe you should be the one who could DOUBLE CHECK UR ANSWER, dont be all sassy and double check ur work, hes the one teachin you, you arent teaching HIM be grateful,
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✅ Thanks so much for watching!
✅ You can find more videos relating to quartiles in the description.
✅ Another thing I'd like to mention about even sets of data is that the lower and upper half can be odd. This is different than the video where the lower and upper half were both made up of four numbers, so each half was even. Here is an example of an even set of data, but each half will be odd:
(1 , 1 , 2 , 3 , 6 , 7 , 7 , 8 , 9 , 12)
There are ten numbers in that data set. That means that the lower and upper half will be five numbers each. In that case, you will have a number directly in the middle for your lower and upper quartile. For this example the median = 6.5 (in between 6 and 7), the lower quartile = 2, and the upper quartile = 8.
I'm glad you clarified because that's exactly why I watched the video. Very helpful! Thank you.
0
I have been in a crash summer course in summer school for 4 days and was completely lost!!! You just helped me out in 15 seconds! I am subscribing and using your videos all summer! Thank you so much!!
You're very welcome! I'm really happy to hear that the channel has been helpful. Thank you for sharing that!
your the best thank you i am facing a lot of problems of quartiles in life but once again thank you so much keep it up I love your video it helps me a lot on my life
Thank you for this video i left my stats class clueless about quartiles and u broke it down perfect. Thank you I will subscribe and watch more of ur math content!
Very well explained I came here after watching so many videos and this was the only one that proved helpful
Precise！Quick！fantastic explanation！
This is very helpful. Thank you so much
Thank you Mr.J!
Very helpful, Thank you!
Perfect explanation.. Thank you so much, Sir.
Thank you so much, Mr. J 🥰🥰
You are very welcome
@@MathwithMrJ how old are you
This cleared my confusion, thanks!
Always great and easy explanations
THANKS SO MUCH!!! This is the only video that i could find that helped me
u just got a like
Thank you so much! This was extremely helpful ❤️.
best teacher mate
Thanks you are the best 💗
This video helped so much really appreciate it alot
thank you so much
Fantastic exsmple with visualisation
Thank you!
Thx is amazing thank you I'm learning this today
Thanks for your videos! My teacher thanks you too, you really help our virtually learning better!
Can you please do a how to find cone surface area tutorial? Pleaseee
Thanks alot
Legend
Thanks!!!
great
but why does MS Excel and other internet tools give different answer?
this is sorted data set 32,59,65,72.
i was calculating quartiles, keeping in mind that this is even data set.
when i do my q1 is 45.5, q2 is 62, q3 is 68.5
But! when i check online and in Excel the answers are different...
you saved me from failing my class 😅
3rd!
hi, i tried your numbers in excel, and i got slightly different quartiles. why?
same with me... do you already know why?
@@ilaila8397 apparently there are more than oke definitions for quartile. And in excel it depends on which version we use
Ameen...
I wish you were my teacher.🙄mine is a bit too pushy
I was just learning about this lol
Make sence
please
This is wrong, This is not how you calculate quantile for even dataset, here is the correct answer:
Quantile 1 = 16.75
Quantile 2= 24.5
Quantile 3= 33
I just double checked all of my work and had two other people find the quartiles as well (wanted to get fresh eyes on this). I have all of the same quartiles from the video (the other people got the same quartiles as well). Can you please share how you got 16.75 and 33 for the 1st and 3rd quartiles?
@@MathwithMrJ I will explain but do not tell this formula to nobody(Let people only see it here). It took me damn time to come up with this:
The trick is to calculate the index corresponding to a given percentile. Once you calculate the index, you will always get an accurate result. This is the formula:
Index = (Percentile * (n-1)+ 1 )
Example 1:
Assume that we have a dataset like this(odd or even does not matter at all) :
my_list=[4000, 5000, 6000, 7000, 7500, 8000, 10000000]
arr= np.array(my_list)
df = pd.DataFrame(arr)
Now we have a dataset from a list. How does pandas calculate quantify?
Let first find Q1= 0.25% = Index = (0.25 * (7-1) + 1) = 2.5 = 5500
find Q2= 0.50% = Index = (0.50 * (7-1) + 1) = 4 = 7000
find Q3= 0.75% = Index = (0.75 * (7-1) + 1) = 5.5 = 7750
Let's do your example:
my_list=[16,16,17,21,28,31,39,39]
Let first find Q1= 0.25% = Index = (0.25 * (8-1) + 1) = 2.75 = 16.75
find Q2= 0.50% = Index = (0.50 * (8-1) + 1) = 4.5 = 24.5
find Q3= 0.75% = Index = (0.75 * (8-1) + 1) = 6.25 = 33
That is it, please do not share this. This formula belongs to me.
This is wrong, the quartiles would be 16.25, 24.5 and 37. Please double check your work before releasing it for the public!
can you explain how you got the 16.25?
I'm happy to look into this and see if I made mistake. I did just double checked all of my work and got the same quartiles. Can you please explain how you got 16.25 and 37 for the lower and upper quartiles? That would be very helpful. Thank you and have a great rest of your day!
Shut yo ahh up bruh, u correctin urself towards a dude whos THE ONE TEACHING, maybe you should be the one who could DOUBLE CHECK UR ANSWER, dont be all sassy and double check ur work, hes the one teachin you, you arent teaching HIM be grateful,
Y is there no explanation?? Explain.