Statistika Bagian 1 - Mengenal Unsur-unsur serta Cara Penyajian Data Tabel Distribusi Frekuensi

Hi assalamualaikum warahmatullahi

wabarakatuh meet again with me and

hendayani on the mad lem channel this is the

first video discussing

statistical material in this video we will

learn how to present data

in a frequency distribution table pup pup

[Music]

ok in this video we will learn

how to present data in a

frequency distribution table or

grouped data breath friends when junior

high school ever learned single data where the

data is presented one by one yes you can

hi like the following this is single data

because the data is presented one by one for

example this is the

final semester assessment score or math test of

80 students if the data is

small for example only 10 only 15 we

can easily present it in the

form of single data we can easily

analyze it but if the data is this

much friends yes especially if

more than 30 data we should present this data

in grouped data

hi now friends compared to

this if we present it one by

one or in the form of single data

this is raw data yes or rauda no

don't compare it with data if we

present it like this

hi now this the same data but the difference is that

we present this one by one if

this data has been grouped into

several intervals, well if

we present the data in a table like this, this is

called a frequency distribution table, that

distribution is the distribution, yes, the

frequency, so

we group it into several

intervals called classes, well if

we compare the first data which is still

presented one by one with the data that

we have grouped and presented

in the frequency distribution table,

of course it comes here in the

frequency distribution table, this data will be

captured and understood more quickly, the

difference with this data, for example,

friends, you want to see the highest student scores

in what range,

if the data is one by one like this, it is

difficult for us to read it, but if

it is in the form of this table, we can

see

oh the highest student data is

this one, it is between 71-80,

the score we can read it

more quickly then the advantage or

advantage of presenting data in a

frequency distribution table, we can

more easily require the

next data analysis process, well in this video

we will learn how to

present data like this, raw data

like this will be presented in a

frequency distribution table,

hi before we learn to present data

in a frequency distribution table, there

some parts of the frequency distribution table

that friends need to know

the first is called the

interval class okay friends need to

understand this because we will use it in the

next material especially in

the calculation later there are those that are in accordance

with the interval class interval class is a

group of data values ​​written in the

form of intervals friends for example

in this table this is the interval class

31-40 41-50 51-60 well this is the first interval class

this is the

first class cluster one this is the second class well this is the

third class and so on

down to the bottom this is the last class okay

so this is called the interval class

hi then the second there is something called the

class limit

hi okay so we already know oh this is the class

now what is the class limit

there are two class limits yes there is a lower limit the

lower limit is the lower end limit in a

class so each class has two

limits friends the lower limit is the

smallest limit for example in this

first class yes this first class the

lower limit is 31 because this is the

smallest value yes then there are those who like the

upper limit the upper limit is the

upper end limit in a class large value the

largest value in the class range

hi so in this first class this 31

this is the lower limit 40 this is the upper limit

martiya try in the third class well this is the

third class this is the lower limit 51 the

upper limit 60 in the last class this is the

lower limit 91 the upper limit 100

clearly yes this is what is called

this class which is called the lower limit

this is the upper limit this is the lower limit this is the

upper limit okay then next there is what is

called the class edge but there are

also two classes there is a lower edge and there is an upper edge

hi but lower or in short we abbreviate it

with tb that is the lower limit minus the

data accuracy yes lower limit minus the

data accuracy well if the upper edge is the

upper limit we add it to the

data accuracy data accuracy well this is a

note if the data is an

integer then the data accuracy is 0.5

for example in this table this is an

integer data there is no comma so the

data accuracy is 0.5 well

for example we want to find the lower edge the lower edge of the

first class the lower edge is the

lower limit minus the accuracy well for

integers like this the

deafness accuracy is 0.5 so the lower edge of the

first class that means 31 minus

0.5 how much is 30.5 this is the lower edge of the

first class if the upper edge is the

upper limit plus the accuracy

yo yeah that means the upper limit of this one is 40

plus 0.5 40.5 well this is the upper edge of the

first class enters the

lower edge of the second class and the inner 41

we subtract it by 0.5 40.5 this is the

lower edge of the second class the upper edge is

plus 0.5 50.5 like that try the third class the

same but the bottom is just subtracted by

0.5 51 subtract 0.5 55 well the top edge is

added 0.5 60.5 the fourth class is the same

but the bottom is subtracted by 0.5 61 subtract 0.5

that is 60.5 but the top means 70 plus

0.5 70.5 well this is the lower edge this is the

upper edge and so on well if the data

contains one decimal place then

the accuracy of the data is 0.05 it's different again

for example this data in there is a comma

yes for example 31.6 for example a

ratih the bottom edge is not minus 0.5

but minus 0.05 okay but

most of the data is in integers

hi now let's continue next there is something

called class length

hi class length how to find it

but the top minus the bottom edge yes well

in this table all these classes the

class length will be the same friends long

hard that class length is all the

same so friends want to take the

top edge and bottom edge of any class is fine

for example if you want to use the first class it

means the length of

this class but the top minus but the bottom

but the top is some 40.5 so the length of the

area is 40.5 minus 3515 what

10 oh it turns out the length of this class is 10 want the

second class used 55 minus

40.5 also the result will be the same eh

that's the class length

hi or an easy way can also be

like this just the

limit minus 40 minus 31 then

add one can be like that yes can the

upper limit minus the lower limit

then add one that person

can also find the class length okay

next there is something called the

class midpoint and the class midpoint is

half the upper limit plus the

lower limit for example we want to find the

midpoint from the first class means

half times 31/40 like that

hi dad how much is that midpoint the

midpoint of the second class is the same means

half times 41 plus 55

a = how much is odd that is the midpoint well

those are some parts of the

frequency distribution table that

friends need to know now we

will try to group data or

present data in a frequency distribution table

or group data in

interval classes well the

steps are first

friends determine the range

yes the range is the largest data minus the

smallest data okay first determine the

range second determine the number of

interval classes the number of classes this

formula is the number of classes or is it equal

to one plus 3.3 times lock

n here you like that logarithm n this is

the number of data

hi and third we determine

the length of the class the length of the class is the way

the range is divided by the number of classes yes well

these are the three steps we need

to present data in a

frequency distribution table to be clearer

let's try the following exercise hi

present the following data in a

frequency distribution table well here

how many are there are 40 data yes here there are 40 data

we will present in a frequency distribution table

first we determine

the range of that range The

largest data minus the smallest data in

this table is the largest datok where is the largest data

f95 yes the smallest data

hi ake 42 so the range is 95

minus 42 the range is 53

secondly we determine the number of

interval classes the formula is k = 1 plus 3.3

lock n so in this data only how many n is the

number of father's data this number of

data is 40 means only that 40 so

the number of classes is one plus 3.3

times lo 40 log 40 this you can

find using your calculator 40 is sak 1.6

yes

a 3.3 times 1.6 is 5.2 8 so now

we calculate 1 plus 5.2 8628 or we just

round it up to six so the number of classes

is 6 and finally we determine

the length of the class the length of the class is

the way we divide the range by

the number of interval classes so in

this question yes the range earlier we got

53 and the number of interval classes is 6

so the length of the class is 53 we

divide by six 53 divided by six that 8.8

three we just round it up to 9 so the

class length is 9 now this is what

we need to make a

frequency distribution table okay let's make

the table

oh yes because earlier we got the

number of classes is 6 so when

friends make the table below the

number of rows according to the number of

classes so here there are many 6

means the reply we make 6 1234567

because later there will be 6 interval classes

okay let's write the interval first the

smallest value is 42 means the

first interval is 42 to how much look at the

class length the class length is 9

don't add 9 but add the

class length minus one yes that means we

add 8 friends remember because the

class length is not the upper limit

minus the lower limit but the upper edge

minus the lower edge earlier right

oh yes so here we add 8 how much 50

okay

hi now the second terrace means from 51

online fish 55 one plus

hi 59 this is from 60 starting 6868

then this is 69 plus 8707 this is 78 + 8 86

like this 87 add 8

hi now to make it easier to determine the

diesel frequency when adding one

column, namely the column continues or teli,

usually friends see participate or this

in the voting usually yes now

to make it easier for us to determine

the frequency, the method is like this, we start the

first data 5858 is in

which class 58 is the class that we

write one then 53 goes

here again off two 56 here also three

then 6464 in this class between 0968

then 50 goes into the first class

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I

hi I really possible and 6565

here yes now so we just count

the poles or ropes to determine the

first frequency the first class is

this how many six yes so the frequency is

6 this 12 this how many

hi then this 8 and this five this three now

this is the frequency of each of

these classes now so this data

we have presented in the frequency distribution table

okay that's how to determine

or how to present data into a frequency

distribution table of grouped data

until we meet in the next video salam

alaikum warohmatullohi wabarokatuh hi hi hi hi hi