1. Pertemuan 01 Data dan Statistika
Matakuliah : I0134 – Metoda Statistika
Tahun : 2005
Versi : Revisi
Pertemuan 01 Data dan Statistika

2. Learning Outcomes
Pada akhir pertemuan ini, diharapkan mahasiswa
akan mampu :
Mahasiswa dapat memberikan definisi istilah-istilah statistika, pengumpulan data dan skala pengukuran

3. Pengolahan dan Penyajian data
Outline Materi
Data
Statistika
Populasi dan Sampel
Skala pengukuran
Pengumpulan data
Pengolahan dan Penyajian data

4. Introduction and Descriptive Statistics
Using Statistics
Percentiles and Quartiles
Measures of Central Tendency
Measures of Variability
Grouped Data and the Histogram
Skewness and Kurtosis
Relations between the Mean and Standard Deviation
Methods of Displaying Data
Exploratory Data Analysis
Using the Computer

5. 1-1. Using Statistics (Two Categories)
Descriptive Statistics
Collect
Organize
Summarize
Display
Analyze
Inferential Statistics
- Predict and forecast values of population parameters
- Test hypotheses about values of population parameters
- Make decisions
Without generalization
On basis of limited and incomplete sample information

6. Types of Data - Two Types
Qualitative - Categorical or Nominal: Examples are-
Color
Gender
Nationality
Quantitative - Measurable or Countable: Examples are-
Temperatures
Salaries
Number of points scored on a 100 point exam

7. Scales of Measurement Nominal Scale - groups or classes Gender
Ordinal Scale - order matters
Ranks
Interval Scale - difference or distance matters
Temperatures
Ratio Scale - Ratio matters
Salaries

8. Samples and Populations
A population consists of the set of all measurements in which the investigator is interested.
A sample is a subset of the measurements selected from the population.
A census is a complete enumeration of every item in a population.

9. Simple Random Sample
Sampling from the population is often done randomly, such that every possible sample of equal size (n) will have an equal chance of being selected.
A sample selected in this way is called a simple random sample or just a random sample.
A random sample allows chance to determine its elements.

10. Samples and Populations
Population (N)
Sample (n)

11. Census of a population may be:
Why Sample?
Census of a population may be:
Impossible
Impractical
Too costly

12. 1-2 Percentiles and Quartiles
Given any set of numerical observations, order them according to magnitude.
The Pth percentile in the ordered set is that value below which lie P% (P percent) of the observations in the set.
The position of the Pth percentile is given by (n + 1)P/100, where n is the number of observations in the set.

13. Example 1-2 (1) Raw Data
A large department store collects data on sales made by each of of its salespeople. The number of sales made on a given day by each of 20 salespeople is shown on the next slide. Also, the data has been sorted in magnitude.

14. Selamat Belajar Semoga Sukses.