Analisis data upload 1 0

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ANALISIS DATA

SMT 310

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Motivasi

 Memahami analisis eksplorasi dan

konfirmasi

 Landasan statistika deskriptif dan

inferensi

 Bersinergi dengan komputasi statistik

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Deskripsi

 Penyusunan dan rangkuman data

numerik

 Penyajian data univariat

 Transformasi data

 Sampel acak

 Statistika konfirmasi

 Analisis variansi

 Hubungan antara dua variabel

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Referensi

 Erickson, Bonnie H & Nosanchuk. 1987.

Memahami Data : Statistika untuk Ilmu Sosial. (terjemahan RK. Sembiring &

Manase Malo). Jakarta: LP3ES

 Griffiths D., Stirling W.D, Weldon K.L .

1998. Understanding Data : Principles

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Kontrak

 Penilaian

 Bobot :

 Tugas : 20%

 Kuis : 15%

 Usip : 25%

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REVIEW

 STATISTIKA ?

 STATISTIK ?

 STATISTIKA DESKRIPTIF ?

 Statistika inferensi

 Populasi

 Sampel

 Parameter

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Data

 Nilai ujian metode stastistik 20 orang

mahasiswa adalah :

 Misalkan diketahui nilai ujian komputasi

statistika 50 mahasiswa

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 Banyaknya penjualan HP di suatu toko :

Merek HP

Penjualan Nokia 56

SE 45 Samsun

g

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Skala pengukuran

 Nominal :

 Ordinal:

 Interval :

 Rasio :

Contoh:

 Nominal: jenis pekerjaan, warna

 Ordinal: kepangkatan, tingkat pendidikan

 Interval: tahun kalender (Masehi, Hijriyah),

temperatur

 (Celcius, Fahrenheit)

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Statistika deskriptif

 Metode atau cara-cara yang digunakan

untuk meringkas dan menyajikan data dalam bentuk tabel, grafik atau

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Grafik Stem-and-leaf

 Untuk menunjukkan bentuk distribusi data

 Data berupa angka dengan minimal dua digit

 Contoh (Data penghasilan buruh):

4 3 9

5 1 1 5 5 5 6 8 9

6 0 2 3 3 4 4 4 5 5 5 6 7 7 7 8 8 9 7 1 2 2 3 4 4 5 5 8

8 3 4 9 9 2

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Why study statistics?

Make decision without complete informations

Understanding population, sample Parameter, statistic

Descriptive and inferential statistics

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glossary

A population is the collection of all items of interest or under investigation

N represents the population size

A sample is an observed subset of the population

n represents the sample size

A parameter is a specific characteristic of a population

Mean, Variance, Standard Deviation, Proportion, etc.

A statistic is a specific characteristic of a sample

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Population vs. Sample

a b c d ef gh i jk l m n o p q rs t u v w x y z

Population Sample

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Examples of Populations

Incomes of all families living in yogyakarta All women with pregnancy problem.

Grade point averages of all the students in your university

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Random sampling

Simple random sampling is a procedure in which

each member of the population is chosen strictly by chance,

each member of the population is equally likely to be chosen, and

every possible sample of n objects is equally likely to be chosen

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Descriptive and Inferential Statistics

Two branches of statistics:

Descriptive statistics

Collecting, summarizing, and processing data to transform data into information

Inferential statistics

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Descriptive Statistics

Collect data

e.g., Survey

Present data

e.g., Tables and graphs

Summarize data

e.g., Sample mean =

i X n

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Inferential Statistics

Estimation

e.g., Estimate the population mean weight using the

sample mean weight

Hypothesis testing

e.g., Test the claim that the population mean weight is 120 pounds

Inference is the process of drawing conclusions or making decisions about a

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