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Hello friends, meet again with you on the Legurless channel. In
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this video, we will discuss high school material, namely statistics on group data.
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In this video, we will learn first how to make a
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frequency distribution table from group data. Later on for the data. friends
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, you can look for the link, bro, put it below so friends can
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learn from the first video to the last video and as usual, this video
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will also have its own playlist for high school students so friends
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can learn from the first video to the last later. bro, put
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the playlist link on the top right, don't forget to like the video and
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also subscribe to the De Gurules channel. OK, let's just talk about
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how to make a frequency distribution table from group data
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before we continue watching the video. Bro, I want to let you know
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that now You can become a member on the Legrules channel. There are three
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membership levels that you can get, namely the linear, square and
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cubic levels. Of course, each has its own benefits that you can
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get. You can become a member by clicking the join button at
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the bottom right of the video or the one below. it's on the legurules channel page. Welcome
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to join. Before we make it, we have to know first
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what this grouped frequency distribution table is. It's a collection of grouped data
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, so there are groups in classes that have the
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same interval or class length, for example, what do you do, Sis? Examples like Yes, OK, bro, I
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have prepared this. Later there will be family planning material discussed, but here there are the class values, then
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there is the frequency, so we call this one a class, yes, this is the
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first class, the second class, the third class, 4 5 6 and the class k-7. So what's going on? Just
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here, the first class is a group, yes. There was a class,
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first, second, third, fourth, fifth, sixth, and ketu, each class has
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a frequency, but we don't know what the value of the frequency of the 3 is.
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Is it all 30, is it all 31 or are we mixed or not? knowing what it is like
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secondly, we will know what is called a class limit. Class limits are the
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lower end value and the upper end value of a class, then we can say Yes, this
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is the lower limit of a class where we have a lower limit, namely
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30, 40 and so on. but here we have what is called the upper limit
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of the class, which is different from the lower limit and upper limit. We have what is called
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the lower edge and the upper limit of the class. Well, the edge of the class is the class limit with
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the closest accuracy. Well, if the number here is an integer, then
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the accuracy is half of that number yes then we have here the
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lower edge is the lower limit Dik 0.5 so here for the lower edge of
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this first class later we have here is
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29.5 because 30 - 0.5 while the upper edge class then we have
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39.5 because 39 + 5 here means the bottom edge of the second class
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is 39.5 and the top edge of the second class is 49.5 and
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so on. Later if we complete it it will be like this yes we have the
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bottom edge of the class And we have the top edge of the class, now the following value
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we need to know is the class length, usually referred to as the class width or
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class interval, the class length is the difference between the top edge and the bottom edge
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, so if we subtract 39.5 - 29.5, we have the class length
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for This frequency table is 10 and the length of this class in one table must be
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the same. Yes, these 10 must not all be different. If they are different then the table will not be
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right. Next, we have the middle value. The middle value is the value that
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is considered to represent the class. It is also called the midpoint of the class or The formula for the middle value class average
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is the lower limit plus the upper limit divided by 2 so
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we have 30 + 39 / 2 like that, then we have here 30 +
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39 which is 69 / 2 so if we divide by 2 then we have
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the result 34.5 so if we look for all
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the middle values We will have values like this Well yes 34.5 44.5 where do you get
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40 + 49 / 2 94.5 where do you get from 90 + 99// 2 now we
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are just learning How to make Si a frequency distribution table here
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you have data, yes there are 100 data, there are 36 60 54 and so on the steps
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What is it like for us to do or search for the
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frequency distribution table? First, we will determine the data range or
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range of data that we have, so from the large amount of data that we
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have, we have to look for the largest and smallest data values. Here the
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smallest data value is 18 and the largest data is 69, yes, there is no
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70 71, there is no maximum 69, so for the data range
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we can calculate 69 - 18. We will have 51. Second, we determine the number of
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classes. Actually, there are many ways, yes, and you don't have to follow this, there can be
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many the class is determined manually, for example we want the class to be 10, that's
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fine, but here there is a method or formula, namely the empirical rule of
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Sturges that we can use, namely k or the number of classes is 1 + 3.3
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*the log of this nn is there's a lot of
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data, so if we look for it, the k value of n is 1 + 3.3, times we
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have 100 data here, then we multiply by log 10, log 100, then 1 + 3.3. The value
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of log 100 is 2, then friends -Friends, can you just tell me
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what the value of the log is, then 1 + 6.6 we have 7.6 and we will always
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round up so we will get the number of classes, which is
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8, if we get the number of classes then we can finally find The length or
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class interval is the range or extent of the data divided by
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the number. This means that we divided 51 by 8 and we will get the result
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6.375. Later we will take the odd one, which means odd, bro, so
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we round it to an odd number so that the middle value is good enough,
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right? there's a comma then here we have the value we take 7uh If it's
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sixth, it's okay. No, it's okay, actually okay, okay, let's move on to the
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next stage. Next stage, we will determine the classes
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with the minimum value being in the first class and the maximum value being in
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the first class. Finally, yes, then we will fill in the classes with
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data values using Turus, we will teach you later. Well, here we already know
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that the range is 51, the number of classes is 8 and the length of the class or the width of the class is 7,
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which means from the data that we created earlier, if we create the class here we
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can do this, for example, if you want the lowest value to be the minimum data,
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you can also, for example, if it is 18, that means with a length of class 7, it will eventually
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reach 24, yes, 18 19, that means if we calculate 18 19 20 21 22 23 24, that will be the edge
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or upper limit. there are 24, then just add 7 so it's easy, friends, that
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means 18 + 7, then 25, then add 7 more, 32 3 9 46 53 60 and 67,
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so just add 7, for simplicity, the upper limit is also the same, just
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add 7, then we have 31 38 45 52 59 66 and
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73 and so on. What we have to do, what we do next
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is calculate with Lus, so for example, here there is data 36 Oh, 36 is
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in that class, that's here, OK, then 60 60 is in that class,
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which way? here yes 54 54 is the class in Which one is Here and so on later
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we will get something like this now we will get the data,
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we have calculated it, we enter it so we can calculate
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the frequency, which means here the frequency we have is 14, OK, this is it
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there are 5, right? 5 + 5 10 + 4 14 this means 13 5 + 5 + 4 14 again 5 + 5 + 5 +
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5 + 3 then we have here 23 5 + 5 + 3 5 + 3 we have 18 5 + 5 + 1 we
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have 11 5 + 1 we have 6 and we have 1 Well later when we have this
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then we can process the data we can find the min we look for the median
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look for the mode and so on we will learn in the next video Yes well but before
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going to the next video Let's try one more question for the friends to practice. I'll
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give you some time first. You can pause the video. Later, friends, you can try
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to copy it. Later, we'll discuss it when you've finished.
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OK, you've paused. You can play the video again. Later, friends, you can check
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the answers. Friends, is it correct or not? We follow the steps above. First,
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we determine the data range, which means we look for the maximum value and
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look for the minimum value. The maximum value is 99 and the minimum value is 34. There is
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nothing lower than 34 and nothing higher than 99
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so we have a data range of 99 - 34, namely 65 UN can be our data range
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determine the number of classes, because coincidentally the data are both 100. Later
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the number of classes will be the same as in the previous question, namely 8 because
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the formula is 1 + 3.3 in the log of 100 then we determine the length of
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the class. For the third stage, then the length of the class is the range, namely
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65/ 8 8.125, we take 9, so we
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round up too, so if that's all we have to do, bro, make
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the class score from 30 to 38. Yes, you want it to be from 31 to 39, you can want it to be
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from 32 to 40, the important thing is, OK? The minimum value is in the
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first class and the maximum value is in the last class. If we look at
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this, just add 9, then add 9 to determine
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the lower limit and upper limit so that it is easy. If it is already done, we just need to enter
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78 into it. where 78 goes here, 48 goes where 48 goes here and
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so on, later we will get the data like this. Well yes, class 30 to 38
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there are three data 4 39 to 47 Brother has 4 data 48 to 51 there are 6, there are 11,
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then here if we calculate 5 10 15 20 25 26, we have 5 10 15 20 22,
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this is also 22 and what we have here is 6. So, to check whether you
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are correct or not, you just have to add them up. Yes, the number of these frequencies,
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if we add them up, will be the same as There's a lot of data. If we add this all
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up it's 100, so that's something like that for this video,
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how can we make a frequency distribution table from single data
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to group data, thank you friends who have
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watched this video. Happy learning. friends, feel this video is useful.
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