Mean Formula For Unmarried Data

In everyday life, the average formula is to a greater extent than widely used, such every bit calculating the average value of students, nosotros must role the hateful formula to calculate the average value.

Mean Formula for Singel Date

Here is a formula for calculating avarage value :

x̄ = ∑x_i / n
x̄ = (x₁ + x₂ + x₃ + ... + x_n)/n

Information :

x̄  = Average Value
x_i = x₁ + x₂ + x₃ + ... + x_n
n = Amount of Data

Example :

Please elevate one's ask heed the average value of  6, 4, 8, 10, 11, 10, 7 !

Answer :

x_i = 6 + 4 + 8 + 10 + 11 + 10 + 7

n = 7

x̄ = ∑x_i / n
x̄ = (x₁ + x₂ + x₃ + ... + x_n)/n

x̄ = (6 + 4 + 8 + 10 + 11 + 10 + 7)/7

x̄ = 56 / 7

x̄ = 8

in addition to thence the average value of 6, 4, 8, 10, 11, 10, 7 is 8

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2 Median Formulas For Unmarried Information Inwards Statistics

The median is the middle value of a grouping of information that has been sorted yesteryear magnitude.

The median formula for unmarried information inwards statistics

at that spot are 2 formulas to decide the median of a data, The next is the median formula for a unmarried data:

1. The median formula if a lot of information is odd

Me = information place : (n + 1)/2

Information :

Me = Median Value

n = amount of data

Example :

Please decide the median of the information 3,7,6,4,5 !

Answer:

n = 5

The commence matter to create is form the data, then the information becomes 3,4,5,6,7

afterward that gear upward the median :

Me = information place : (n + 1)/2

Me = data location : (5 + 1)/2

Me = data location : 6/2

Me = data location : 3

So the median of information is inwards the tertiary place :

commence place = 3

minute place = 4

third place = 5

4th place = 6

5th place = 7

Me = Median place : three = tertiary place = 5

So the median of 3, 7, 6, 4, together with 5 is 5

2. The median formula if a lot of information is even

Me = ((data location : n/2) + (data location : ((n/2) + 1))2

Information :

Me = Median Value

n = amount of data

Example :

Please decide the median of 1, 2, 4, together with three !

Answer :

n = 4

first place = 1

second place = 2

third place = 3

fourth place = 4

The commence matter to create is form the data, then the information becomes 1, 2, 3, 4

afterward that gear upward the median :

Me = ((data location : n/2) + (data location : ((n/2) + 1))) / 2

Me = ((data location : 4/2) + (data location : ((4/2) + 1))) / 2

Me = ((data location : 2) + (data location : (2 + 1))) / 2

Me = ((data location : 2) + (data location : 3)) / 2

Me = (second location + tertiary location) / 2

Me = (2 + 3) / 2

Me = v / 2

Me = 2,5

So the median of 1, 2, 3, 4 is 2,5

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Mode Formulas Of A Unmarried Information Inwards Statistic

Mode of a unmarried appointment inward statistic

The means of a information is information that oftentimes appears or information that has the highest frequency. To own upward one's heed the value of the means of a information is truly no formula. But to specify a unmarried information means tin sack last searched past times :

Mode Formulas of H5N1 Single Data In Statistic

Mo = the break or value that close appear

Information :

Mo = Mode

Example :

Please own upward one's heed the means value of 3,4,4,5,5,5,6,7 !

Answer :

The next is the break of information for each chemical ingredient :

3 = 1 frequency

4 = ii frequency

5 = iii frequency

6 = 1 frequency

7 = 1 frequency

The information alongside the close value is 5 alongside 3 frequency, then the means of 3,4,4,5,5,5,6,7 is 5.

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Harmonic Hateful Formulas Inwards Statistic

Harmonic Mean Formulas

Average harmonic is the average calculated past times converting all information into fractions, of which the information value is used every bit the denominator in addition to the numerator is 1, hence all the fractions are summed in addition to hence used every bit the divisor of the amount of data.

Harmonic Mean Formulas inwards Statistic

H = n/(∑(1/x_i))

Information :

H = average harmonic value

n = amount of data

∑ = sigma notation

x_i = data

Example :

Please calculate the Harmonic hateful of 3,5,6,6,7,10,12!

Answer :

n = 7

x_i = 3,5,6,6,7,10,12

H = n/(∑(1/x_i))

H = 7/((1/3)+(1/5)+(1/6)+(1/6)+(1/7)+(1/10)+(1/12))
H = 7/((4/12)+(1/5)+(2/12)+(2/12)+(1/7)+(1/10)+(1/12))

H = 7/(((4+2+2+1)/12)+(1/5)+(1/7)+(1/10))

H = 7/((9/12)+(1/5)+(1/7)+(1/10))

H = 7/((9/12)+(2/10)+(1/7)+(1/10))

H = 7/((9/12)+((2+1)/10)+(1/7))

H = 7/((9/12)+(3/10)+(1/7))

H = 7/((9/12)+(21/70)+(10/70))

H = 7/((9/12)+((21+10)/70))

H = 7/((9/12)+(31/70))

H = 7/((630/840)+(372/840))

H = 7/((630+372)/840)

H = 7/((1002)/840)

H = seven x (840/1002)

H = 5880/1002

H = 5,87

So the harmonic average of 3,5,6,6,7,10,12 is 5,87

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Geometric Hateful Inward Statistics

Geometric Mean inwards Statistics is the average obtained past times multiplying all the information inwards a sample group, as well as thus it is rooted past times the total of the sample data.

Geometric Mean Formulas inwards Statistics

U = ⁿ√(x₁ . x₂ . x₃ . ... . x_n)

Information :

U = geometric hateful value

x = data

n = amount of data

Example :

Please cause upward one's hear geometric hateful of  2,4,8,16 !

Answer :

n = 4

x₁ = 2

x₂ = 4

x₃ = 8

x₄ = 16

U = ⁴√(x₁ . x₂ . x₃ . x₄)

U = ⁴√(2 . 4 . 8 . 16)

U = ⁴√(2¹ . 2² . 2³ . 2⁴)

U = ⁴√(2^1+2+3+4)

U = ⁴√2¹⁰

U = 2^10/4

U = 2^5/2

U = √2⁵

U = √32

U = √(16 x 2)

U = √16 x √2

U = 4√2

So  the geometric mean of 2,4,8,16 is 4√2

Referensi :

• https://ginabortolussiblog.blogspot.com//search?q=rata-rata-ukur-geometrik

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Quartile Formulas Of Unmarried Information Inward Statistics

Quartile Formulas of Single Data inwards Statistics

Quartile carve upwards the information into 4 equal parts from information which has been sorted 25% each.

Quartile Formulas of Single Data inwards Statistics

Q_i = location of information : (i(n + 1))/4

Information :

Q_i = value of kuratil - ith

n = total of data

Example :

Please own upwards one's heed the 1st quartile value of 1, 6, 9, 3, 5, 8, 10 !!!

Answer :

kind the information from the smallest information to the largest information :

1st place = 1

2nd place = 3

3rd place = 5

4th place = 6

5th place = 8

6th place = 9

7th place = 10

n = 7

hence the quartile is :

Q_i = location of information : (i(n + 1))/4

Q₁ = location of information : (1(7 + 1))/4

Q₁ = location of information : (1(8))/4

Q₁ = location of information : 8/4

Q₁ = location of information : 2

Q₁ = location of information : 2nd

Q₁ = 2d location

Q₁ = 3

So the 1st quartile of information 1, 6, 9, 3, 5, 8, 10 is 3.

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Range Quartiles Formulas Inwards Statistics

From a gear upwards of information having Q₁ too quartiles over Q₃, the quartile make formula is:

Range Quartiles Formulas inwards Statistics

RQ = Q₃ - Q₁

Information :

RQ = Range of Quartile
Q₁ = 1st Quartile

Q₃ = 3rd Quartile

Example :

Please possess upwards one's hear the make of quartile if the kickoff quartile is 40.27 too the 3rd quartile is 53.79 !!!

Answer :

Q₁ = 40.27

Q₃ = 53.79

RQ = Q₃ - Q₁

RQ = 53.79 - 40.27

RQ = 53.79 - 40.27

RQ = 13,52

So the make of quartile if the kickoff quartile is 40.27 too the 3rd quartile is 53.79  is 13.52.

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Quartile Departure Formula Inward Statistics

From a laid upward of information having the lowest quartile Q₁ too the superlative Quartile Q₃, too then the quartile divergence formula is:

Quartile Deviation Formula inward Statistics

Qd = (1/2)(Q₃ - Q₁)

Information :

Qd = Quartile deviation
Q₁ = Lower quartile or 1st quartile
Q₃ = Up quartile or third quartile

Example :

Please lift one's heed the quartile divergence if Q₁ = 40.27 too Q₃ = 53.79 !!!

Answer :

Q₁ = 40.27

Q₃ = 53.79

Qd = (1/2)(Q₃ - Q₁)
Qd = (1/2)(53.79 - 40.27)
Qd = 13.52 / 2
Qd = 6.76

So the quartile divergence is 6.76

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Referensi :

• Book math grouping sales too accounting examine To'ali flat 12

The Hateful Divergence Formula

For a ready of information x₁, x₂, x₃, ..., x_n which has an hateful of x̄ and absolute value of departure per information | x₁ - x̄ |, | x₂ - x̄ |, | x₃ - x̄ |, ..., | x_n - x̄ | summed too then divided past times the amount of information too then obtained the hateful departure formulated every bit follows :

The Mean Deviation Formula

RD = 1/n ∑ | x_i - x̄ |

Information :

x_i = x₁, x₂, x₃, ..., x_n
x̄ = Mean of data
n = Amount frequencies of data
∑ = Sigma (number symbol)
RD = Mean departure value

Example :

Determine the hateful departure of 6, 4, 8, 10, 11, 10, 7 !

Answer :

x₁ = 4

x₂ = 6

x₃ = 7

x₄ = 8

x₅ = 10

x₆ = 10

x₇ = 11

n = 7

x̄ = (4 + 6 + 7 + 8 + 10 + 10 + 11) / 7

x̄ = 56 / 7

x̄ = 8

∑ | x_i - x̄ |  = | x₁ - x̄ | + | x₂ - x̄ | + | x₃ - x̄ | + | x₄ - x̄ | + | x₅ - x̄ | + | x₆ - x̄ | + | x₇ - x̄ |

∑ | x_i - x̄ |  = | 4 - 8 | + | 6 - 8 | + | 7 - 8 | + | 8 - 8 | + | 10 - 8 | + | 10 - 8 | + | 11 - 8 |

∑ | x_i - x̄ |  = | -4 | + | -2 | + | -1 | + | 0 | + | 2 | + | 2 | + | 3 |

∑ | x_i - x̄ |  = 4 + 2 + 1 + 0 + 2 + 2 + 3

∑ | x_i - x̄ |  = 14

RD = 1/n ∑ | x_i - x̄ |
RD = 1/7 (14)
RD = xiv / 7
RD = 2

So the hateful departure value of 6, 4, 8, 10, 11, 10, 7 is 2

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• Book math grouping sales too accounting bear witness To'ali cast 12

Z-Score Formula Inward Statistics

Z-Score Formula inward Statistics

Z-score is used to know the difference of an effect compared to its habit. The larger the raw number, the amend the information value compared to the other value which has a smaller raw number.

Z-Score Formula inward Statistics

Z = (x_i - X̄)/S

Information :

Z = Z-Score

x_i = x₁, x₂, x₃, ... , x_n

X̄= Mean of data

S = touchstone deviation

Example :

suppose in that place are information 2,7,8,10,4, together with 5, amongst hateful together with touchstone divergence respectively are vi together with 7. Please notice the z-score of ii !

Answer :

x_i = 2

X̄= 6

S = 7

Z = (x_i - X̄)/S

Z = (2 - 6) / 7

Z = -4/7

Z = -0,57

So the z-score of ii inward the information is -0,57

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• Book math grouping sales together with accounting seek out To'ali degree 12

Standard Difference Formula For Unmarried Data

Standard Deviation formula for Single Data

Perhaps the close widely used difference size is the criterion deviation, because it has mathematical properties that are rattling of import in addition to useful for theoretical give-and-take in addition to subsequent statistical analysis.

Standard Deviation formula for Single Data

S = √((1/n) ∑(x_i - X̄)²)

Information :

S = Standard deviation

x_i = ith-data (x₁. x₂, x₃, ... , x_n)

X̄ = Mean of data

n = Amount frequency of data

Example :

Please attain upwards one's hear the criterion difference of 4, 6, 7, 8, 10, 10, 11 !

Answer :

n = 7

X̄ = (4 +6 + 7 + 8 + 10 + 10 + 11)/7

X̄ = 56/7

X̄ = 8

∑(x_i - X̄)² = (x₁ - X̄)²  + (x₂ - X̄)² + (x₃ - X̄)² + (x₄ - X̄)² + (x₅ - X̄)² + (x₆ - X̄)² + (x₇ - X̄)²

∑(x_i - X̄)² = (4 - 8)²  + (6 - 8)² + (7 - 8)² + (8 - 8)² + (10 - 8)² + (10 - 8)² + (11 - 8)²

∑(x_i - X̄)² = (-4)²  + (-2)² + (-1)² + (0)² + (2)² + (2)² + (3)²

∑(x_i - X̄)² = 16  + 4 + 1 + 0 + 4 + 4 + 9

∑(x_i - X̄)² = 38

S = √((1/n) ∑(x_i - X̄)²)

S = √((1/7) 38)

S = √(38/7)

S = √(38/7)

S = √5.43

S = 2.33

So the criterion difference of 4, 6, 7, 8, 10, 10, 11 is 2.33

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Reference :

• Book math grouping sales in addition to accounting examine To'ali class 12

Variance Coefficient Formula

The coefficient of variance is the ratio betwixt touchstone departure as well as the hateful of a information as well as expressed in%.

Variance coefficient Formula

CV = (S/x̄) x 100%

Information :

S = Standard deviation

x̄ = Mean of data

CV = Coefficient of variance

Example :

The average fluorescent light tin last used for 2,800 hours alongside touchstone departure of 700 hours, acre the incandescent light tin last used on average for 3,500 hours alongside touchstone departure of 1,050 hours. from which information is amend ?

Answer :

1. Variance coefficient of fluorescent light usage is :

S = 700

x̄ = 2,800

CV = (S/x̄) x 100%

CV = (700/2,800) x 100%

CV = (1/4) x 100%

CV = 0.25 x 100%

CV = 25%

2. Variance coefficient of incandescent light usage is :

S = 1,050

x̄ = 3,500

CV = (S/x̄) x 100%

CV = (1,050/3,500) x 100%

CV = 0.3 x 100%

CV = 30%

From the calculation of the coefficient of variance, the fluorescent light is amend than the incandescent lamp, because the larger KV fluorescent lamps are KV incandescent.

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• Book math grouping sales as well as accounting bear witness To'ali course of report 12

The Hateful Formula For The Grouped Data

The Mean Formula for The Grouped Data

Information :

f = Frequency

x = Data

Σ = Sigma

i = Sequence of data

x̅ = Mean of data

Example :

From the tabular array above, delight stimulate upwardly one's heed the hateful !

Answer :

x̅ = (Σ f_i . x_i )/Σf_i

x̅ = 535/40

x̅ = 13.38

So the hateful of the information is 13.38.

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Reference :

• Book math grouping sales in addition to accounting evidence To'ali shape 12

Mode Formula For Grouped Data

Mode Formula For Grouped Data

Information :

be = Bottom border of manner class

d₁ = Difference betwixt frequency of manner as well as previous frequency

d₂ = Difference betwixt frequency of manner as well as subsequent frequency

c = Class length

Mo = Mode of data

Example :

Please decide the manner from the tabular array below !

Answer :

be = 45 - 0.5 = 44.5

d₁ = 17 - 13  = 4

d₂ = 17 - 14  = 3

c = 35 - thirty = 5

So the manner of information inward the inward a higher house tabular array is 47.36.

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Reference :

• Book math grouping sales as well as accounting assay To'ali shape 12

Median Formula For Grouped Data

Median Formula for Grouped Data

Median Formula for Grouped Data

Information :

F = Amount of frequencies earlier the median

f = Frequency of median class

c = Class length

n = Sum of frequencies

be = Bottom border of median class

Me = Median of data

Example :

Please decide the median value inwards the tabular array information below !

Answer :

be = 45 - 0,5 = 44.5

n = 8 + 10 + thirteen + 17 + fourteen + 11 + 7 = 80

F = 8 + ten + thirteen = 31

c = 35 - xxx = 5

f  = 17

So the median of the information is 47.15.

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Reference :

• Book math grouping sales together with accounting seek To'ali course of teaching 12

5 Kinds Of Diagrams Inward Statistics

Diagram is a description to exhibit or explicate a information to live on presented. Or other diagram definitions are certainly symbols that tin flame live on used to depict the means, procedures too activities that are usually implemented inwards a system. This fourth dimension I volition portion near v kinds of diagrams form.

1. Line diagram

Line diagram is a diagram mostly used to acquaint information obtained from fourth dimension to fourth dimension on a regular the world amongst a certainly distance. Generally work diagrams are frequently used to encounter the progress of something on an ongoing basis.

To push clitoris a work diagram it takes 2 axes, ie the vertical axis too the apartment axis. The apartment axis industrial plant to exhibit the time, too the axis is upright to exhibit its quantity such equally value, quantity, cost, income, too thence forth. Next, Draw each coordinate cry for that shows the observed information at a given time.

Here is an trial of a work diagram:

2. Bar diagram

Bar diagram is a diagram that presents information inwards the shape of vertical rectangles or horizontal rectangles. Bar diagram is to a greater extent than frequently than non used to depict the evolution value of a enquiry object inside a certainly time. The bar diagram shows descriptions amongst at nowadays or horizontal bars too is the same width amongst split upward trunks.

Here is an trial of a bar diagram :

3. Pie diagram

The pie nautical chart is a diagram to depict or stand upward for the information equally a circle image. Because of its representation equally a circle too then the information must shape a total too each datum (data item) tin flame live on expressed equally a per centum (having a certainly portion betwixt 0 to 100) against the data.

Here is an trial of a pie diagram :

4. Pictogram

The film diagram or pictogram is a diagram where the information is presented inwards the shape of drawings or paintings to stand upward for objects that display many actual objects. However, the method of information presentation using pictograms has its ain weaknesses such equally at that topographic point are pictures of people who exclusively seem half, it is used to stand upward for the publish of students who exclusively 10 people.

Here is an trial of a pictogram :

5. Histogram

The histogram is a graphical display of the frequency tabulation described inwards graphical bars equally a binary information manifestation. Each rod display shows the proportion of frequencies inwards each category deet that coexists amongst non-overlapping intervals.

H5N1 histogram is a block beam showing 1 sort of measuring of a physical care for or event. This graph is really suitable for the information inwards the grouping. Histogram is a neighboring frequency diagram that looks similar a bar chart. The following bar should coincide.

Here is an trial of a histogram :

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Reference

• https://ginabortolussiblog.blogspot.com//search?q=diagram-batang-tugas-statistika-dasar
• https://satujam.com/diagram-garis/
• https://ginabortolussiblog.blogspot.com//search?q=diagram-batang-tugas-statistika-dasar
• https://ginabortolussiblog.blogspot.com//search?q=diagram-batang-tugas-statistika-dasar
• https://ginabortolussiblog.blogspot.com//search?q=diagram-batang-tugas-statistika-dasar
• https://id.scribd.com/doc/111449502/A-Pengertian-Histogram

How To Brand A Frequency Distribution Tabular Array For Grouped Data

Hello guys! :)

Back in 1 trial again amongst me the handsome blogger. This fourth dimension I volition part nigh how to brand the frequency distribution information tabular array group. There are vi steps to brand tabular array frequency distribution of information group, that is every bit follows :

1. The root pace nosotros surfey the information volition endure created tabular array frequency distribution.
2.  Determine the range.
3. Specify the publish of classes for the tabular array interval.
4. Determine the length of the interval class.
5. Set the lower trammel of the root interval class.
6. Observe how many equal numbers, inwards each shape together with write inwards the gibe column amongst the sign "|". And fill upwards inwards the publish of frequencies according to the publish of tally.

To endure to a greater extent than understanding, let's practise the vi steps into the next example:

Example :

Suppose in that place are information values for eighty students, amidst them are:

80 eighty lxx 68 ninety 92 eighty lxx 63 76
49 84 71 72 35 93 91 74 sixty 63

48 ninety 92 85 83 76 61 99 83 88

74 lxx 38 51 73 71 72 95 82 70

81 91 56 65 74 ninety 97 eighty sixty 66

98 93 81 93 43 72 91 59 67 88

87 82 74 83 86 67 88 71 89 79

82 78 73 86 68 75 81 77 63 75 

Answer :

let's move the vi steps to a higher house !

1. The root pace nosotros surfey the information volition endure created tabular array frequency distribution.

The information stimulate got been surveyed when the work is made, together with hence the information are:

80 eighty lxx 68 ninety 92 eighty lxx 63 76
49 84 71 72 35 93 91 74 sixty 63

48 ninety 92 85 83 76 61 99 83 88

74 lxx 38 51 73 71 72 95 82 70

81 91 56 65 74 ninety 97 eighty sixty 66

98 93 81 93 43 72 91 59 67 88

87 82 74 83 86 67 88 71 89 79

82 78 73 86 68 75 81 77 63 75

2. Determine the range.

Range tin endure determined past times subtracting the largest information amongst the smallest data.

Range = the largest information - the smallest data
Range = 99 - 35

Range = 64

3. Specify the publish of classes for the tabular array interval

The publish of classes tin endure searched past times the formula:

The publish of classes = 1 + 3.3 log n,  n is the amount of frequency data.

The publish of classes = 1 + 3.3 log 80
The publish of classes = 1  + (3.3) (1.9031)
The publish of classes = 7.2802

So nosotros tin do lists amongst the publish of classes 7 or 8

4. Determine the length of the interval class

The length of the shape interval tin endure searched by:

length of interval shape = Range / publish of classes
length of interval shape = 64 / 7

length of interval shape = 9.14

So the length of the shape nosotros tin stimulate got 9 or 10.

5. Set the lower trammel of the root interval class

The lower trammel of the root shape interval tin endure retrieved from the smallest information or information smaller than the smallest data. However, the deviation of less than the length of the shape together with the root shape should non stimulate got a frequency equal to zero.

So I stimulate got the lower trammel of the root interval is 31

6. Observe how many equal numbers, inwards each shape together with write inwards the gibe column amongst the sign "|". And fill upwards inwards the publish of frequencies according to the publish of tally.

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Reference

• Google.com

3 Basic Kinds Of Frequencies Inwards Statistics

In frequency statistics is a discover that indicates how many times a variable (denoted yesteryear the numbers) recurs inwards the sequence of numbers; or it tin sack hold upwards said how many times a variable appears inwards the sequence of numbers. There are iii kinds of frequencies inwards statistics, such as:

1. Regular frequency
2. Cumulative frequency
3. Relative frequency

1. Regular frequency

Regular frequency is the discover of frequencies of each data. This regular frequency serves to demo the discover of frequencies of a data, in addition to thence it is non written repeatedly. The next is an representative of regular frequencies presented inwards a tabular array form:

2. Cumulative frequency

The cumulative frequency is the amount of the frequencies information amongst the frequency of the previous data. Cumulative frequency serves to facilitate the procedure of spreading the information later. hither is an representative of cumulative frequency inwards a tabular array form:

Information :

• The dark-green columns are columns of cumulative frequency values

3. Relative frequency

The relative frequency is the frequency value inwards pct shape compared to the full discover of all data. Relative frequency is useful to facilitate the adjacent procedure inwards presenting the data. Here is an representative of relative frequencies inwards a tabular array form:

Information :

• The dark-green columns are columns of relative frequency values

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I apologize if at that topographic point are incorrect give-and-take on this article

The terminate of give-and-take wassalamualaikum wr. wb.

Reference:

• https://ginabortolussiblog.blogspot.com//search?q=pengertian-frekuensi-kelompok-iii

The Decile Formula For Unmarried Data

Decil

Desil is the cry for or value that divides all information into ten equal parts. Desil serves to stimulate upwardly one's heed the value of each ten pct throttle inward the distribution inward question. Here is the decile formula for a unmarried data:

The Decile Formula for Single Data

Location D_i = Location of information (i(n + 1) / 10)

Information:

D = Decile
n = Number of data
i = 1,2, ..., 9 

Example :

Please stimulate upwardly one's heed the 1st decile of the information 1,2,3,4,5, ... , 99 !

Answer :

i = 8

n = 10

Location D_i = Location of information (i(n + 1) / 10)

Location D₁ = Location of information (1(99 + 1) / 10)

Location D₁ = Location of information (1(100) / 10)

Location D₁ = Location of information (100/ 10)

Location D₁ = Location of information (10)

Location D₁ = 10

So the 1st decile of data 1,2,3,4,5, ... , 99 is 10.

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I apologize if in that place are incorrect give-and-take on this article

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Reference :

• Google

Percentile Formulas For Unmarried Data

Percentile is a stair out used inward statistics. Here is the Percentile Formulas for Single Data:

Percentile formula for unmarried data

Location of P_i = information to (i (n + 1) / 100)

Information:

P = Persentile
n = Number of data

i = 1,2, ..., 99

Example:

Please cause upward one's heed the 2nd percentile of 1,2,3, ..., 999!

Answer:

n = 999

i = 2

Location of P_i = Location data: (i (n + 1) / 100)
Location of P₂ = Location data: (2 (999 + 1) / 100)

Location of P₂ = Location information : (2 (1,000) / 100)

Location of P₂ = Location information : (2,000) / 100)

Location of P₂ = Location information : 20th

So the 2nd percentile of 1,2,3, ..., 999 is the 20th information that is 20.

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I apologize if at that spot are incorrect give-and-take on this article

The halt of give-and-take wassalamualaikum wr. wb.

Reference:

• Google