data processing of cadger in 16 market

8/3/2019 Data Processing of Cadger in 16 Market

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SMA NEGERI SUMATERA SELATAN

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DATA PROCESSING OF TRADERS IN 16 MARKETS

BASED ON THE KIND OF MERCHANTABILITY

USING SPSS PROGRAMS

TEACHER

DIARANI ARIESTA WULANDARI

MADE BY :

1. ANDRI SULISTIO

2. OCKY PRADIKARIYADI

3. PRATIWI

4. PUSPA MELATI

5. RISMA RISMAWATI

6. RISWANDA NANDA PRATAMA

7. TEUKU RAJA HAIKAL VELAYANDA ALFITRAH

8. TRIANA NURARIFIN

XI SCIENCE 3 and XI SOCIAL

DEPARTMENT OF EDUCATION OF SOUTH SUMATERA

SMA NEGERI SOUTH SUMATERA

(SAMPOERNA ACADEMY)Pangeran ratu street, 8 Ulu Palembang, South Sumatera


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CONTENTS

I. AIMS/GOALS

II. PROBLEM

III. BASIC TEORY

DEFINITION

MAKE UP THE DISTRIBUTION TABLE OF SINGLE FREQUENCY

MAKE UP THE DISTRIBUTION TABLE OF GROUP FREQUENCY

DIMENSION OF CENTRALIZED DATA

DIMENSION OF DATA LOCATION

DIMENSION OF DISTRIBUTION DATA

KIND OF GRAPHS IN INSTATISTIC

IV. RESULT OF SURVEYV. CONCLUSION

VI. BIBLIOGRAPHY


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III. BASIC TEORY

III.1 DEFINITION

Statistic is a branch of mathematics dealing with the collection, analysis, interpretation, and

presentation of masses of numerical data. It deals with all aspects of this, including the planning of

data collection in terms of the design ofsurveys and experiments.Data is information in raw or unorganized form (such as alphabets, numbers, or symbols)

that refer to, or represent, conditions, ideas, or objects. Data is limitless and present everywhere in

the universe. Datum is a single piece of information that is a fact and especially a piece of

information obtained by observation or experimentused mostly in the plural.

Kind of data:

Qualitative data is the data that shown the condition of the object. Ex: The data about

the quality of vegetables in PS mall.

Quantitative data is the data that shown the amount of the object and formed by

number. Ex: The data that count how many gardens in Palembang is.

Count data is the data that get by count the object. Dimension data is the data that get by measuring the object

Samples is certain part of population that being observation. But Population is the all data

that being observe.

III.2 MAKE UP THE DISTRIBUTION TABLE OF SINGLE FREQUENCY

No Data Torus Frequency

1 Buah-buahan III 3

2 Pempek IIIII 5

3 Sayuran IIIII, II 74 Sate III 3

III.3 MAKE UP THE DISTRIBUTION TABLE OF GROUP FREQUENCY

Before we make the distribution table of the group frequency, we should introduce the part

of distribution table of the group frequency. Ex: table 1

Age Middle Point Torus Frequency

1-10 5,5 IIIII,III 8

11-20 15,5 IIII 421-30 25,5 IIIII,I 6
http://en.wikipedia.org/wiki/Statistical_surveyhttp://en.wikipedia.org/wiki/Experimental_designhttp://en.wikipedia.org/wiki/Experimental_designhttp://www.businessdictionary.com/definition/information.htmlhttp://www.businessdictionary.com/definition/form.htmlhttp://www.businessdictionary.com/definition/symbol.htmlhttp://www.businessdictionary.com/definition/condition.htmlhttp://www.businessdictionary.com/definition/idea.htmlhttp://www.businessdictionary.com/definition/object.htmlhttp://www.businessdictionary.com/definition/universe.htmlhttp://www.businessdictionary.com/definition/universe.htmlhttp://www.businessdictionary.com/definition/object.htmlhttp://www.businessdictionary.com/definition/idea.htmlhttp://www.businessdictionary.com/definition/condition.htmlhttp://www.businessdictionary.com/definition/symbol.htmlhttp://www.businessdictionary.com/definition/form.htmlhttp://www.businessdictionary.com/definition/information.htmlhttp://en.wikipedia.org/wiki/Experimental_designhttp://en.wikipedia.org/wiki/Statistical_survey


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31-40 35,5 IIIII,IIIII,II 12

Part of group frequency:

1. Class

The data that has 30 experiments in table 1 divided by 4 classes, first class is 1-10, second

class is 11-20, third class is 21-30, forth class is 31-40.

2. Class boundaries

Lower limit point of the class

o First class : 1

o Second class : 11

o Third class : 21

o Forth class : 31

Upper Limit point of the class

o

First class : 10o Second class : 20

o Third class : 30

o Forth class : 40

3. Edge class

To get edge classes we should find the upper and lower limit point of class.

Lower edge point of classes

Lower limit point of the class 0, 5

o First class : 0,5o Second class : 10,5

o Third class : 20,5

o Forth class : 30,5

Upper edge point of the class

Upper limit point of the classes + 0, 5

o First class : 10,5

o Second class : 20,5

o Third class : 30,5

o Forth class : 40,5

4. Length class

Formula of length class is

Upper edge point of the class Lower edge point of the class

Example:


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o First class : 10,5 - 0,5 = 10

o Second class : 20,5 10,5 =10

o Third class : 30,5 20,5 = 10

o Forth class : 40,5 30,5 = 10

5. Middle point of the class

1/2 (lower limit point of the class upper limit point of the class)

We can know it from the table.

III.4 DIMENSION OF CENTRALIZED DATA

1. Single FrequencyThe Mean

The Median

Mo = Value that the highest one/always be exist

The Mode

Formula for mode of single frequency is actually could be seen from the highest number.

2. Group of data frequency

The Mean

The Median

The Mode

III.5 LOCATION OF DATA SIZE

One of the types of location data size in this topic is QUARTILE.


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1. Determine Quartile

a. Single Data

- First Quartile () : Divide data become

and

part.

- Second Quartile () : Divide data become

part. From the fraction, we

can know that is similar with Median.

- Third Quartile () : Divide data become

and

part.

FIVE SERIES OF STATISTIC

This topic consist of five series, they are Statistics of extreme (rentang/statistic

minimum () and statistic maximum ()) and quartiles (first quartile, second

quartile, third quartile). They are five value of statistic that able to determine from

statistic ranks of the data.

b. Group Data

The value of , or Median, from the group of data can be determined by

this formula:

- First Quartile

Note :

: Bottom edge of the class that made first quartile

F : the amount of frequency before first quartile

F : frequency of class that made first quartile

C : edge of class that made first quartile

N : the amount of data that we absorb

f

F-n

4

1

cLQ 11


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- Second Quartile

Note :

: Bottom edge of the class that made second quartile

F : the amount of frequency before second quartile

f : frequency of class that made second quartile

C : edge of class that made first quartilen : the amount of data that we absorb

- Third Quartile

Note :

: Bottom edge of the class that made second quartile

F : the amount of frequency before second quartile

f : frequency of class that made second quartile

C : edge of class that made first quartile

n : the amount of data that we absorb

III.6 SIZE DISTRIBUTION DATA

1. Range

Range is the differences between the largest and smallest value. For grouped data, the range

is the difference between the midpoints of the highest class with the midpoint of the lowest class.

Range=Xmax Xmin

f

F-n4

2

cLQ 22

f

F-n4

3

cLQ 33


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2. Inter-quartile range

Inter-quartile range is the difference between the third quartile Q3 and first quartile Q1. The

symbol of inter-quartile range is H.

H= Q3 Q1

3. Quartile deviation

Quartile deviation is one-half times the length of a stretch. The symbol of quartile deviation

is Qd

Qd= H (1/2 Q3 Q1)

4. StepStep is one-half times the stretch, and the symbol is L.

L= 1 H (1 Q3 Q1)

5. Fence in

Fence in is the value of located one step below the lower quartile value.

PD= Q1 L

6. Outer fence

Outer fence is a value that is located one step above the upper quartile Q3.

PL= Q3 + L

Outlier data is all data that the values less or more than a fence in the outer fence. We can

say that the outlier is an inconsistent data in a data set.

III.7 KIND OF GRAPH IN STATISTIC

HISTOGRAM GRAPH


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OGIVE GRAPH

o OGIVE (+)

o OGIVE (-)

0

5

10

15

20

25

Amount of traders in 16 Markets

Fruit Vegetables Food Acsesories Glasses

2008

2009

2010

2011

2012

0

2

4

6

8

10

12

14

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5

Improvement the level of water in Banyuasin


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LINE GRAPH

PIE CHART

0

20

40

60

80

100

120

140

160

180

200

Car Motorcyle Bike Fan

2014

2013

2012

Sales

House

Hotel

Warteg

Mall


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IV. RESULT

a. RESULT OF SURVEY

o Object Survey : Street Sealer In 16 Markets

o Place : 16 Markets

o Time : December, 15 2011, 11.00 13.00 PM

o Result :

NO Trader Amount

1 Clothes 97

2 Food 28

3 Fruit 103

4 Watch 6

b. Result in SPSS programs

FREQUENCY

Notes

Output Created 19-Dec-2011 10:39:36

Comments

Input Active Dataset DataSet0

Filter

Weight

Split File

N of Rows in Working Data

File

7

Missing Value Handling Definition of Missing User-defined missing values are treated as

missing.

Cases Used Statistics are based on all cases with valid

data.


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Syntax FREQUENCIES VARIABLES=Clothes Food

Fruit Watch

/NTILES=4

/STATISTICS=STDDEV VARIANCERANGE MINIMUM MAXIMUM SEMEAN

MEAN MEDIAN MODE

/GROUPED=Clothes Food Fruit Watch

/PIECHART FREQ

/ORDER=ANALYSIS.

Resources Processor Time 00 00:00:01.981

Elapsed Time 00 00:00:01.944

Statistics

Clothes Food Fruit Watch

N Valid 6 6 6 6

Missing 1 1 1 1Mean 16.17 4.67 17.17 1.00

Std. Error of Mean 6.129 1.282 3.177 .258

Median 11.50a

4.50a

15.50a

1.00a

Mode 5b

1b

9b

1

Std. Deviation 15.012 3.141 7.782 .632

Variance 225.367 9.867 60.567 .400

Range 41 8 22 2

Minimum 5 1 9 0

Maximum 46 9 31 2

Percentile

s

25 8.00c

2.00c

12.00c

.40c

50 11.50 4.50 15.50 1.00

75 15.00 7.00 20.00 1.60

a. Calculated from grouped data.

b. Multiple modes exist. The smallest value is shown

c. Percentiles are calculated from grouped data.


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Frequency Table

Clothes

Frequency Percent Valid Percent Cumulative Percent

Valid 5 1 14.3 16.7 16.7

8 1 14.3 16.7 33.3

11 1 14.3 16.7 50.0

12 1 14.3 16.7 66.7

15 1 14.3 16.7 83.3

46 1 14.3 16.7 100.0

Total 6 85.7 100.0

Missing System 1 14.3

Total 7 100.0

Food


Valid 1 1 14.3 16.7 16.7

2 1 14.3 16.7 33.3

3 1 14.3 16.7 50.0

6 1 14.3 16.7 66.7

7 1 14.3 16.7 83.3

9 1 14.3 16.7 100.0

Total 6 85.7 100.0

Missing System 1 14.3

Total 7 100.0

Fruit


Valid 9 1 14.3 16.7 16.7

12 1 14.3 16.7 33.3

14 1 14.3 16.7 50.0

17 1 14.3 16.7 66.7

20 1 14.3 16.7 83.3

31 1 14.3 16.7 100.0


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Total 6 85.7 100.0

Missin

g

System 1 14.3

Total 7 100.0

Watch


Valid 0 1 14.3 16.7 16.7

1 4 57.1 66.7 83.3

2 1 14.3 16.7 100.0

Total 6 85.7 100.0

Missin

g

System 1 14.3

Total 7 100.0

PIE CHART

data processing of cadger in 16 market

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