Statistik

1. DATA, SAMPLE,
POPULATION
Sugama Maskar,
M.PMat.
FAKULTAS SASTRA DAN ILMU PENDIDIKAN– UNIVERSITAS TEKNOKRAT INDONESIA

2. GOALS
1.Students can understand about
data, sample, and population;
2.Students can distinguish about
data, sample, and population;
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3. DATA
Measurment,
counting, or
observation result.
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4. GOOD DATA REQUIREMENT
1.Objective (based on fact);
2.Reflect (reflect of the
object that observed);
3.Minimize of sampling
error;
4.Up to date.FAKULTAS SASTRA DAN ILMU PENDIDIKAN– UNIVERSITAS TEKNOKRAT INDONESIA

5. TYPE OF DATA
Quantitative data
Ex.
•I have 3 motorcycle (discrete);
•Distance from Bandung to
Jakarta is 60 km (continuous).
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6. TYPE DATA
Qualitative Data
Ex.
1.That poetry is good;
2.The price of that novel is
expensive.
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7. OTHERS
Internal Data
External Data
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8. OTHERS
Primary Data
Secondary Data
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9. OTHERS
Cross section Data
Time Series Data
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10. POPULATION
Colletion of all similar
elements
The elements can be distinguished
based on its characteristics
Ex. Female or male, age,
educational level, genre, etc.
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11. SAMPLE
A subsets of
population
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12. SAMPLE
http://keydifferences.com/wp-content/uploads/2016/04/census-vs-sample.jpg
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13. QUESTION
Why we use
sample?
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14. POPULATION AND SAMPLE
http://www.six-sigma-material.com/images/PopSamples.GIF
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15. RESEARCH CYCLE
http://images.slideplayer.com/13/3999595/slides/slide_4.jpg
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16. SAMPLING
How to collect sample
data?
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17. SAMPLING ADVANTAGES
1.Cheaper;
2.Faster;
3.Easier;
4.Can be generalized.
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18. SAMPLING TYPES
Random Sample
http://images.slideplayer.com/13/3999595/slides/slide_4.jpg
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19. RANDOM SAMPLING
Every element have same
chances to selected.
more Objective, Neutral,
equal chance.
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20. NON RANDOM SAMPLING
Every element have not
same chances to
selected.
more Subjective, not
Neutral, not equal
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21. RANDOM SAMPLING TYPES
1.Simple Random Sampling;
2.Proportionate Stratified Random
Sampling;
3.Area Sampling;
4.Cluster Random Sampling;
5.Systematic Random Sampling.
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22. SIMPLE RANDOM SAMPLING
Collete data sample without
see level of data.
Can be used when the data is
homogeneous.
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23. PROPORTIONATE STRATIFIED
RANDOM SAMPLING
Random with seeing
level of data
propotionally
Can be used when the data is
heterogeneous
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24. AREA SAMPLING;
take a representative from each
region
𝑋𝑖1,𝑖2,𝑖3,…
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25. CLUSTER RANDOM SAMPLING
Sample with Sample
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26. SYSTEMATIC RANDOM SAMPLING
1.Get 𝑘,
𝑘=Population/sample;
2.Choose number from 1 to
k;
3.Choose data from 1st dataFAKULTAS SASTRA DAN ILMU PENDIDIKAN– UNIVERSITAS TEKNOKRAT INDONESIA

27. METHODS AND INSTRUMENTS OF
DATA COLLECTION
1.Questionnaire;
2.Interview;
3.Observation;
4.Test;
5.Documentation.
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28. SAMPLE QUESTIONNAIRE
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29. SAMPLE QUESTIONNAIRE
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