How to Find Quartiles (Even Set of Data) | Math with Mr. J - By Math with Mr. J
Transcript
00:0-1 | Welcome to Math with mr J . In this video | |
00:05 | I'm going to cover quartile so the lower quartile , | |
00:09 | the median and the upper quartile chortled , divide data | |
00:13 | sets into quarters . Simply put we break the data | |
00:17 | up into four equal parts . The lower quartile will | |
00:20 | give us the 25th percentile so the 25% or 1/4 | |
00:25 | mark . The median gives us the 50th percentile , | |
00:29 | so the middle of our data and then the upper | |
00:33 | quartile will give us the 75th percentile , The 75% | |
00:38 | or 3/4 mark . All of this information helps us | |
00:42 | understand and interpret data . Portals are a building block | |
00:47 | for other topics involving data . So an understanding of | |
00:51 | this will help you moving forward . In this example | |
00:54 | we're going to work with a data set with an | |
00:57 | even number of numbers . So let's jump into it | |
01:00 | and we need to start by ordering our data from | |
01:04 | least to greatest . So ascending order in this example | |
01:08 | we are already in order . But if you're working | |
01:11 | with some numbers that are out of order , make | |
01:13 | sure you start with ordering those numbers from least to | |
01:18 | greatest . So let's move on to step two which | |
01:21 | is find the median . Now we have eight numbers | |
01:24 | within this data set . So we're going to have | |
01:27 | four on the left and four on the right , | |
01:30 | that's going to give us our middle , it's going | |
01:32 | to be in between the 21 and the 28 . | |
01:37 | So we need to find The middle between those two | |
01:41 | numbers And we can do that by finding the average | |
01:44 | . So let's come down to where it says Q2 | |
01:46 | which stands for quartile to which is the same thing | |
01:50 | as the median , it's the 50th%ile . So to | |
01:53 | find the average we need to add those numbers 21 | |
01:58 | plus 28 And then divide by two . So 21 | |
02:03 | plus 28 gives us 49 And 49 divided by two | |
02:10 | , is going to give us 24 and 5/10 or | |
02:14 | 24.5 . That's going to be our median . That's | |
02:20 | the middle point of our data set there . So | |
02:24 | once we have our median we need to find the | |
02:27 | median of the lower half and median of the upper | |
02:30 | half . The median or middle of the lower half | |
02:33 | is going to be the lower quartile and then the | |
02:36 | median or middle of the upper half is going to | |
02:39 | be the upper quartile . So let's do the lower | |
02:43 | half first . So the lower four numbers , we | |
02:47 | need to find the middle of those lower four numbers | |
02:50 | . And since we have an even number of numbers | |
02:53 | there , we don't have a number sitting directly in | |
02:56 | the middle . So we're going to need to take | |
02:58 | a look at the two numbers in the middle and | |
03:02 | find what's in between . That's going to give us | |
03:06 | our median again , because we don't have one specific | |
03:09 | number sitting in the middle there , so we need | |
03:11 | to take a look at the two in the middle | |
03:14 | and find what's in between and just like the median | |
03:17 | . We can do that by finding the average or | |
03:20 | in the case of this one , we can probably | |
03:22 | think it through and we know that 16.5 is in | |
03:25 | between 16 and 17 . But let's solve it mathematically | |
03:30 | as well . So again average add 16 Plus 17 | |
03:36 | and then divide by two . So 16 plus 17 | |
03:41 | is going to give us 33 divided by two and | |
03:45 | we get 16 and 5/10 or 16.5 . That's going | |
03:51 | to give us our lower quartile . So that's the | |
03:55 | 25% mark within our data set there , the 25th | |
04:00 | percentile . So once we have that we can do | |
04:04 | the upper quartile . So let's take a look at | |
04:07 | the upper half and find the middle or median of | |
04:11 | that upper half . Now we have four numbers again | |
04:14 | an even number of numbers , so we're not going | |
04:17 | to have one specific numbers sitting in the middle . | |
04:19 | We're going to take a look at the two middle | |
04:22 | numbers which 31 and 39 find the midpoint between those | |
04:28 | two . That's going to give us our median of | |
04:31 | that upper half and we can do that by finding | |
04:33 | the average . So add 31 plus 39 divided by | |
04:41 | two . 31-plus 39 is going to give us 70 | |
04:48 | 70 divided by two , gives us 35 , so | |
04:53 | 35 is going to be the upper quartile , it's | |
04:57 | the 75% mark within our data . The 75th%ile . | |
05:04 | So those are our core titles . The lower quartile | |
05:07 | is 16.5 , that's the 25th percentile . Then we | |
05:12 | have the median , which is 24 a half , | |
05:15 | that's the 50th percentile , the middle of our data | |
05:19 | set . And then for our Upper quartile we have | |
05:22 | 35 , so that's the 75th%ile . I'm going to | |
05:27 | draw some lines within our data set there so we | |
05:29 | can visualize where these chortled are and how it breaks | |
05:34 | our data into four equal parts . So 16.5 is | |
05:38 | going to be right here , Right in between that | |
05:42 | 16 and 17 that we talked about earlier , the | |
05:45 | median , which is the middle point is right here | |
05:50 | in between the 21 and 28 like we talked about | |
05:53 | earlier and then we have our upper quartile In between | |
05:58 | the 31 and the 39 . So you can see | |
06:01 | that we have one , two , three and four | |
06:09 | Equal pieces . This line right here represents the 25th%ile | |
06:15 | . This line is the 50th and then this is | |
06:18 | the 75th . So there you have it . There | |
06:21 | is how you find the lower quartile , the median | |
06:24 | and the upper quartile . I hope that helped . | |
06:28 | Thanks so much for watching until next time . Peace | |
06:33 | . Mhm . |
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