SlideShare a Scribd company logo
PDU 207 STATISTIK DASAR
SEKSI E
SEMESTER GASAL 2016/2017
FAKULTAS PSIKOLOGI / PROGRAM STUDI S1 PSIKOLOGI
Introduction to

Statistics
KULIAH II – 15 AGUSTUS 2016
Menguasai teknik-teknik statistika deskriptif dan statistika inferensial,
secara khusus terkait dengan:
• Berbagai istilah/terminologi statistik, pengukuran, dan penelitian,

serta berbagai notasi dasar analisis statistik yang akan

digunakan seterusnya dalam MK Statistik Dasar maupun MK lain;
• Relevansi logika dan perhitungan statistik dalam proses penelitian

secara umum.
One-Day Objectives
PDU 207 STATISTIK DASAR 2016 © Ardhiati 3
KARAKTERISTIK
PACAR IDEAL
(LAKI-LAKI)
KARAKTERISTIK
PACAR IDEAL
(PEREMPUAN)
JUMLAH

(MANTAN) PACAR
USIA SAAT

PACARAN

PERTAMA KALI
STATISTICS
PDU 207 STATISTIK DASAR 2016 © Ardhiati
What is Statistics?
4
used to organize and summarize

the information;
Statistics Serve General Purposes
help to answer the questions

that initiated the research

by determining exactly what general
conclusions are justified based

on the specific results

that were obtained.
(Gravetter & Wallnau, 2012: 5) ICON SOURCES: Office Folders by Stanislav Levin,

QA by Annie Lin; from the Noun Project
PDU 207 STATISTIK DASAR 2016 © Ardhiati 5
The term statistics refers to

a set of mathematical procedures

for organizing, summarizing,

and interpreting information.
(Gravetter & Wallnau, 2012: 5)
PDU 207 STATISTIK DASAR 2016 © Ardhiati
Population & Samples
6
THE POPULATION THE SAMPLE
the set of all the individuals of
interest in a particular study
a set of individuals selected
from a population, usually
intended to represent the
population in a research study
The sample is selected
from the population
The results from the
sample are generalized

to the population
(Gravetter & Wallnau, 2012: 5-6) ICON SOURCES: Group by christoph robausch,

Team by christoph robausch; from the Noun Project
PDU 207 STATISTIK DASAR 2016 © Ardhiati
Population & Samples
7
Usia Pacaran Pertama Kali
pada Mahasiswa FP UAJ
Rata-rata = 9 th
Semua laki-laki
POPULATION
SAMPLE (1) SAMPLE (2)
Rata-rata = 13 th
3 Laki-laki, 2 Perempuan
ICON SOURCES: Group by christoph robausch;

from the Noun Project
PDU 207 STATISTIK DASAR 2016 © Ardhiati
Population & Samples
8
SAMPLING
ERROR
SAMPLE (1) SAMPLE (2)
ICON SOURCES: Group by christoph robausch;

from the Noun Project
POPULATION
PDU 207 STATISTIK DASAR 2016 © Ardhiati
Model of Statistical Inference
9
POPULATION
SAMPLE
SAMPLING
PARAMETER
STATISTICS
MEASUREMENT
MEASUREMENT
(Gravetter & Wallnau, 2012: 7-8) ICON SOURCES: Group by christoph robausch;

from the Noun Project
PDU 207 STATISTIK DASAR 2016 © Ardhiati
Model of Statistical Inference
10
SAMPLE STATISTICSMEASUREMENT
(Gravetter & Wallnau, 2012: 7-8) ICON SOURCES: Group by christoph robausch;

from the Noun Project
DESCRIPTIVE
STATISTICS
PDU 207 STATISTIK DASAR 2016 © Ardhiati
Model of Statistical Inference
11
POPULATION
SAMPLE STATISTICSMEASUREMENT
(Gravetter & Wallnau, 2012: 7-8) ICON SOURCES: Group by christoph robausch;

from the Noun Project
INFERENTIAL
STATISTICS
PDU 207 STATISTIK DASAR 2016 © Ardhiati
Data Structures, Research Methods,
12
& STATISTICS
PROPORTION/
PERCENTAGE
CORRELATIONAL
METHOD
EXPERIMENTAL &
NON-EXPERIMENTAL
METHOD
Comparing two (or more)
groups of scores
Describe individual variables

as they exist naturally
Measuring two variables

for each individual
EXAMPLE
Independent Variable:

Genre Musik
Dependent Variable:

Tingkat Pemahaman Statistik Dasar
EXAMPLE
Variabel:

Usia Pacaran Pertama Kali
EXAMPLE
Variabel 1:

Jumlah Pacar
Variabel 2:

Time-Management Skills
INDIVIDUAL
VARIABLE
RELATIONSHIP

BETWEEN VARIABLES
(Gravetter & Wallnau, 2012: 12-20) ICON SOURCES: Pie Chart by Berkay Sargın, Link by Joris Hoogendoorn,

Experiment by Creative Stall; from the Noun Project
PDU 207 STATISTIK DASAR 2016 © Ardhiati
Data Structures, Research Methods,
13
describe individual variables as they exist naturally
& STATISTICS
PROPORTION/PERCENTAGE
Variabel:

Usia Pacaran Pertama Kali
(Gravetter & Wallnau, 2012: 12-20) ICON SOURCES: Pie Chart by Berkay Sargın; from the Noun Project
SUBJEK
USIA PACARAN
PERTAMA KALI
A 9
B 18
C 11
D 13
E 10
F 16
G 16
H 17
PDU 207 STATISTIK DASAR 2016 © Ardhiati
Data Structures, Research Methods,
14
two different variables are observed to determine whether there is

a relationship between them
& STATISTICS
CORRELATIONAL METHOD
Variabel 1:

Jumlah Pacar
Variabel 2:

Time-Management Skills
(Gravetter & Wallnau, 2012: 12-20) ICON SOURCES: Link by Joris Hoogendoorn; from the Noun Project
SUBJEK JUMLAH

PACAR
TIME-MANAGEMENT

SKILLS
A 1 Sangat Buruk 1
B 1 Sangat Buruk 1
C 2 Sangat Buruk 1
D 1 Buruk 2
E 3 Baik 3
F 3 Baik 3
G 1 Buruk 2
H 4 Sangat Baik 4
PDU 207 STATISTIK DASAR 2016 © Ardhiati
Data Structures, Research Methods,
15
to demonstrate a cause-and-effect relationship between two variables;
attempts to show that changing the value of one variable causes changes

to occur in the second variable
& STATISTICS
THE EXPERIMENTAL METHOD
(Gravetter & Wallnau, 2012: 12-20) ICON SOURCES: Experiment by Creative Stall; from the Noun Project
Independent Variable:

Genre Musik
Dependent Variable:

Tingkat Pemahaman Statistik Dasar
CHARACTERISTICS:
• Manipulation
• Control
POP JAZZ
30 80
35 75
45 90
45 85
40 90
PDU 207 STATISTIK DASAR 2016 © Ardhiati
Data Structures, Research Methods,
16
to demonstrate a cause-and-effect relationship between two variables;
attempts to show that changing the value of one variable causes changes

to occur in the second variable
& STATISTICS
THE NON-EXPERIMENTAL METHOD
(Gravetter & Wallnau, 2012: 12-20) ICON SOURCES: Experiment by Creative Stall; from the Noun Project
Quasi-Independent Variable:

Status Pacaran
Dependent Variable:

Familiaritas terhadap Adegan Percintaan
CHARACTERISTICS:
• Manipulation
• Control
(+) PACAR (-) PACAR
9 4
10 3
12 3
12 4
8 0
PDU 207 STATISTIK DASAR 2016 © Ardhiati 17
WANT TO KNOW MORE?
Gravetter, F.J. & Wallnau, L.B. (2012).

Statistics for the behavioral sciences (9th ed.).

Australia: WADSWORTH CENGAGE Learning.

More Related Content

Viewers also liked

PDU 211 Research Methods: Identifying a Research Problem
PDU 211 Research Methods: Identifying a Research ProblemPDU 211 Research Methods: Identifying a Research Problem
PDU 211 Research Methods: Identifying a Research Problem
Agatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
Agatha N. Ardhiati
 
PDU 211 Research Methods: Analyzing & Interpreting Qualitative Data
PDU 211 Research Methods: Analyzing & Interpreting Qualitative DataPDU 211 Research Methods: Analyzing & Interpreting Qualitative Data
PDU 211 Research Methods: Analyzing & Interpreting Qualitative Data
Agatha N. Ardhiati
 
PDU 202 Qualitative Research Method: Data Collection
PDU 202 Qualitative Research Method: Data CollectionPDU 202 Qualitative Research Method: Data Collection
PDU 202 Qualitative Research Method: Data Collection
Agatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Introduction to Observation
PDU 214 Methods of Observation & Interviewing: Introduction to ObservationPDU 214 Methods of Observation & Interviewing: Introduction to Observation
PDU 214 Methods of Observation & Interviewing: Introduction to Observation
Agatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
Agatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & TechniquesPDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
Agatha N. Ardhiati
 
PDU 207 Basic Statistics: Frequency Distribution
PDU 207 Basic Statistics: Frequency DistributionPDU 207 Basic Statistics: Frequency Distribution
PDU 207 Basic Statistics: Frequency Distribution
Agatha N. Ardhiati
 
PDU 211 Research Methods: Mixed-Methods & Action Research Designs
PDU 211 Research Methods: Mixed-Methods & Action Research DesignsPDU 211 Research Methods: Mixed-Methods & Action Research Designs
PDU 211 Research Methods: Mixed-Methods & Action Research Designs
Agatha N. Ardhiati
 
PDU 211 Research Methods: Quantitative & Qualitative Research Designs
PDU 211 Research Methods: Quantitative & Qualitative Research DesignsPDU 211 Research Methods: Quantitative & Qualitative Research Designs
PDU 211 Research Methods: Quantitative & Qualitative Research Designs
Agatha N. Ardhiati
 
Qualitative Data Analysis (Steps)
Qualitative Data Analysis (Steps)Qualitative Data Analysis (Steps)
Qualitative Data Analysis (Steps)
guest7f1ad678
 
Introduction to statistics...ppt rahul
Introduction to statistics...ppt rahulIntroduction to statistics...ppt rahul
Introduction to statistics...ppt rahul
Rahul Dhaker
 
creativity: what or how?
creativity: what or how?creativity: what or how?
creativity: what or how?
Agatha N. Ardhiati
 
Qualitative codes and coding
Qualitative codes and coding Qualitative codes and coding
Qualitative codes and coding
Heather Ford
 

Viewers also liked (14)

PDU 211 Research Methods: Identifying a Research Problem
PDU 211 Research Methods: Identifying a Research ProblemPDU 211 Research Methods: Identifying a Research Problem
PDU 211 Research Methods: Identifying a Research Problem
 
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
 
PDU 211 Research Methods: Analyzing & Interpreting Qualitative Data
PDU 211 Research Methods: Analyzing & Interpreting Qualitative DataPDU 211 Research Methods: Analyzing & Interpreting Qualitative Data
PDU 211 Research Methods: Analyzing & Interpreting Qualitative Data
 
PDU 202 Qualitative Research Method: Data Collection
PDU 202 Qualitative Research Method: Data CollectionPDU 202 Qualitative Research Method: Data Collection
PDU 202 Qualitative Research Method: Data Collection
 
PDU 214 Methods of Observation & Interviewing: Introduction to Observation
PDU 214 Methods of Observation & Interviewing: Introduction to ObservationPDU 214 Methods of Observation & Interviewing: Introduction to Observation
PDU 214 Methods of Observation & Interviewing: Introduction to Observation
 
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
 
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & TechniquesPDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
 
PDU 207 Basic Statistics: Frequency Distribution
PDU 207 Basic Statistics: Frequency DistributionPDU 207 Basic Statistics: Frequency Distribution
PDU 207 Basic Statistics: Frequency Distribution
 
PDU 211 Research Methods: Mixed-Methods & Action Research Designs
PDU 211 Research Methods: Mixed-Methods & Action Research DesignsPDU 211 Research Methods: Mixed-Methods & Action Research Designs
PDU 211 Research Methods: Mixed-Methods & Action Research Designs
 
PDU 211 Research Methods: Quantitative & Qualitative Research Designs
PDU 211 Research Methods: Quantitative & Qualitative Research DesignsPDU 211 Research Methods: Quantitative & Qualitative Research Designs
PDU 211 Research Methods: Quantitative & Qualitative Research Designs
 
Qualitative Data Analysis (Steps)
Qualitative Data Analysis (Steps)Qualitative Data Analysis (Steps)
Qualitative Data Analysis (Steps)
 
Introduction to statistics...ppt rahul
Introduction to statistics...ppt rahulIntroduction to statistics...ppt rahul
Introduction to statistics...ppt rahul
 
creativity: what or how?
creativity: what or how?creativity: what or how?
creativity: what or how?
 
Qualitative codes and coding
Qualitative codes and coding Qualitative codes and coding
Qualitative codes and coding
 

Similar to PDU 207 Basic Statistics: Introduction to Statistics

Revisiting The UK EU Membership Referendum (Brexit) Poll Tracker
Revisiting The UK EU Membership Referendum (Brexit) Poll TrackerRevisiting The UK EU Membership Referendum (Brexit) Poll Tracker
Revisiting The UK EU Membership Referendum (Brexit) Poll Tracker
Michaelino Mervisiano
 
BJLP45-paper1_+Linear+Vs+Logistic.pdf
BJLP45-paper1_+Linear+Vs+Logistic.pdfBJLP45-paper1_+Linear+Vs+Logistic.pdf
BJLP45-paper1_+Linear+Vs+Logistic.pdf
ssuser8e260b1
 
How can RFOs fight gender bias? Experience from ANR
How can RFOs fight gender bias? Experience from ANR How can RFOs fight gender bias? Experience from ANR
How can RFOs fight gender bias? Experience from ANR
SUPERA project
 
1-s2.0-S0740624X22000508-main.pdf
1-s2.0-S0740624X22000508-main.pdf1-s2.0-S0740624X22000508-main.pdf
1-s2.0-S0740624X22000508-main.pdf
GhazalHussain4
 
Towards the brazilian space program modeling
Towards the brazilian space program modelingTowards the brazilian space program modeling
Towards the brazilian space program modeling
Ana Paula Castro
 
Spss and software Application
Spss and software ApplicationSpss and software Application
Spss and software Application
Ashok Pandey
 
Science Under the Microscope, Monitoring and Evaluating Impact
Science Under the Microscope, Monitoring and Evaluating ImpactScience Under the Microscope, Monitoring and Evaluating Impact
Science Under the Microscope, Monitoring and Evaluating Impact
KBHN KT
 
Sesi 1_Introduction Econometrics.pdf
Sesi 1_Introduction Econometrics.pdfSesi 1_Introduction Econometrics.pdf
Sesi 1_Introduction Econometrics.pdf
DianNoviWiyanah1
 
IDENTIFICATION of SUSTAINABILITY ASSESSMENT INDICATORS for the INFRASTRUCTURE...
IDENTIFICATION of SUSTAINABILITY ASSESSMENT INDICATORS for the INFRASTRUCTURE...IDENTIFICATION of SUSTAINABILITY ASSESSMENT INDICATORS for the INFRASTRUCTURE...
IDENTIFICATION of SUSTAINABILITY ASSESSMENT INDICATORS for the INFRASTRUCTURE...
Premier Publishers
 
Minimizing the Impact of Forecast Error on Government Monetary and Fiscal Pol...
Minimizing the Impact of Forecast Error on Government Monetary and Fiscal Pol...Minimizing the Impact of Forecast Error on Government Monetary and Fiscal Pol...
Minimizing the Impact of Forecast Error on Government Monetary and Fiscal Pol...
Editor IJCATR
 
SD_2373.pdf
SD_2373.pdfSD_2373.pdf
SD_2373.pdf
Kavinraja25
 
Accelerate: What the Elephant and the Rider Teaches Us About Change in Health...
Accelerate: What the Elephant and the Rider Teaches Us About Change in Health...Accelerate: What the Elephant and the Rider Teaches Us About Change in Health...
Accelerate: What the Elephant and the Rider Teaches Us About Change in Health...
University of Utah
 
Revised understanding predictive models limit to growth model
Revised understanding predictive models limit to growth modelRevised understanding predictive models limit to growth model
Revised understanding predictive models limit to growth model
Dr Rajeev Kumar
 
Qualitative data analysis part 1-theoretical understanding
Qualitative data analysis part 1-theoretical understandingQualitative data analysis part 1-theoretical understanding
Qualitative data analysis part 1-theoretical understanding
Dr Rajeev Kumar
 
Open Knowledge Maps Overview & Business Model
Open Knowledge Maps Overview & Business ModelOpen Knowledge Maps Overview & Business Model
Open Knowledge Maps Overview & Business Model
Open Knowledge Maps
 
Augmenting Open Government Data with Social Media Data
Augmenting Open Government Data with Social Media DataAugmenting Open Government Data with Social Media Data
Augmenting Open Government Data with Social Media DataEvangelos Kalampokis
 
150215 nyc digisocahonen150227pd_a_ic
150215 nyc digisocahonen150227pd_a_ic150215 nyc digisocahonen150227pd_a_ic
150215 nyc digisocahonen150227pd_a_ic
Digital Sociology Mini-Conference
 
DengueWHO_MdChoudhury.pdf
DengueWHO_MdChoudhury.pdfDengueWHO_MdChoudhury.pdf
DengueWHO_MdChoudhury.pdf
AhmudulHassan
 
BIG DATA AND BIG CITIES THE PROMISES AND LIMITATIONSOF IMPR.docx
BIG DATA AND BIG CITIES THE PROMISES AND LIMITATIONSOF IMPR.docxBIG DATA AND BIG CITIES THE PROMISES AND LIMITATIONSOF IMPR.docx
BIG DATA AND BIG CITIES THE PROMISES AND LIMITATIONSOF IMPR.docx
tangyechloe
 
INTRODUCTION TO STATISTICS
INTRODUCTION TO STATISTICSINTRODUCTION TO STATISTICS
INTRODUCTION TO STATISTICS
AkkiMaruthi
 

Similar to PDU 207 Basic Statistics: Introduction to Statistics (20)

Revisiting The UK EU Membership Referendum (Brexit) Poll Tracker
Revisiting The UK EU Membership Referendum (Brexit) Poll TrackerRevisiting The UK EU Membership Referendum (Brexit) Poll Tracker
Revisiting The UK EU Membership Referendum (Brexit) Poll Tracker
 
BJLP45-paper1_+Linear+Vs+Logistic.pdf
BJLP45-paper1_+Linear+Vs+Logistic.pdfBJLP45-paper1_+Linear+Vs+Logistic.pdf
BJLP45-paper1_+Linear+Vs+Logistic.pdf
 
How can RFOs fight gender bias? Experience from ANR
How can RFOs fight gender bias? Experience from ANR How can RFOs fight gender bias? Experience from ANR
How can RFOs fight gender bias? Experience from ANR
 
1-s2.0-S0740624X22000508-main.pdf
1-s2.0-S0740624X22000508-main.pdf1-s2.0-S0740624X22000508-main.pdf
1-s2.0-S0740624X22000508-main.pdf
 
Towards the brazilian space program modeling
Towards the brazilian space program modelingTowards the brazilian space program modeling
Towards the brazilian space program modeling
 
Spss and software Application
Spss and software ApplicationSpss and software Application
Spss and software Application
 
Science Under the Microscope, Monitoring and Evaluating Impact
Science Under the Microscope, Monitoring and Evaluating ImpactScience Under the Microscope, Monitoring and Evaluating Impact
Science Under the Microscope, Monitoring and Evaluating Impact
 
Sesi 1_Introduction Econometrics.pdf
Sesi 1_Introduction Econometrics.pdfSesi 1_Introduction Econometrics.pdf
Sesi 1_Introduction Econometrics.pdf
 
IDENTIFICATION of SUSTAINABILITY ASSESSMENT INDICATORS for the INFRASTRUCTURE...
IDENTIFICATION of SUSTAINABILITY ASSESSMENT INDICATORS for the INFRASTRUCTURE...IDENTIFICATION of SUSTAINABILITY ASSESSMENT INDICATORS for the INFRASTRUCTURE...
IDENTIFICATION of SUSTAINABILITY ASSESSMENT INDICATORS for the INFRASTRUCTURE...
 
Minimizing the Impact of Forecast Error on Government Monetary and Fiscal Pol...
Minimizing the Impact of Forecast Error on Government Monetary and Fiscal Pol...Minimizing the Impact of Forecast Error on Government Monetary and Fiscal Pol...
Minimizing the Impact of Forecast Error on Government Monetary and Fiscal Pol...
 
SD_2373.pdf
SD_2373.pdfSD_2373.pdf
SD_2373.pdf
 
Accelerate: What the Elephant and the Rider Teaches Us About Change in Health...
Accelerate: What the Elephant and the Rider Teaches Us About Change in Health...Accelerate: What the Elephant and the Rider Teaches Us About Change in Health...
Accelerate: What the Elephant and the Rider Teaches Us About Change in Health...
 
Revised understanding predictive models limit to growth model
Revised understanding predictive models limit to growth modelRevised understanding predictive models limit to growth model
Revised understanding predictive models limit to growth model
 
Qualitative data analysis part 1-theoretical understanding
Qualitative data analysis part 1-theoretical understandingQualitative data analysis part 1-theoretical understanding
Qualitative data analysis part 1-theoretical understanding
 
Open Knowledge Maps Overview & Business Model
Open Knowledge Maps Overview & Business ModelOpen Knowledge Maps Overview & Business Model
Open Knowledge Maps Overview & Business Model
 
Augmenting Open Government Data with Social Media Data
Augmenting Open Government Data with Social Media DataAugmenting Open Government Data with Social Media Data
Augmenting Open Government Data with Social Media Data
 
150215 nyc digisocahonen150227pd_a_ic
150215 nyc digisocahonen150227pd_a_ic150215 nyc digisocahonen150227pd_a_ic
150215 nyc digisocahonen150227pd_a_ic
 
DengueWHO_MdChoudhury.pdf
DengueWHO_MdChoudhury.pdfDengueWHO_MdChoudhury.pdf
DengueWHO_MdChoudhury.pdf
 
BIG DATA AND BIG CITIES THE PROMISES AND LIMITATIONSOF IMPR.docx
BIG DATA AND BIG CITIES THE PROMISES AND LIMITATIONSOF IMPR.docxBIG DATA AND BIG CITIES THE PROMISES AND LIMITATIONSOF IMPR.docx
BIG DATA AND BIG CITIES THE PROMISES AND LIMITATIONSOF IMPR.docx
 
INTRODUCTION TO STATISTICS
INTRODUCTION TO STATISTICSINTRODUCTION TO STATISTICS
INTRODUCTION TO STATISTICS
 

More from Agatha N. Ardhiati

PDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
PDU 214 Methods of Observation & Interviewing: Interviewing - IntroductionPDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
PDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
Agatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
Agatha N. Ardhiati
 
PDU 303 Psychometrics: Item Analysis
PDU 303 Psychometrics: Item AnalysisPDU 303 Psychometrics: Item Analysis
PDU 303 Psychometrics: Item Analysis
Agatha N. Ardhiati
 
PDU 303 Psychometrics: Item Construction
PDU 303 Psychometrics: Item ConstructionPDU 303 Psychometrics: Item Construction
PDU 303 Psychometrics: Item Construction
Agatha N. Ardhiati
 
PDU 303 Psychometrics: Test Specification
PDU 303 Psychometrics: Test SpecificationPDU 303 Psychometrics: Test Specification
PDU 303 Psychometrics: Test Specification
Agatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Observations
PDU 214 Methods of Observation & Interviewing: ObservationsPDU 214 Methods of Observation & Interviewing: Observations
PDU 214 Methods of Observation & Interviewing: Observations
Agatha N. Ardhiati
 
PDU 211 Research Methods: Collecting Qualitative Data
PDU 211 Research Methods: Collecting Qualitative DataPDU 211 Research Methods: Collecting Qualitative Data
PDU 211 Research Methods: Collecting Qualitative Data
Agatha N. Ardhiati
 
PDU 211 Research Methods: Analyzing & Interpreting Quantitative Data
PDU 211 Research Methods: Analyzing & Interpreting Quantitative DataPDU 211 Research Methods: Analyzing & Interpreting Quantitative Data
PDU 211 Research Methods: Analyzing & Interpreting Quantitative Data
Agatha N. Ardhiati
 
PDU 211 Research Methods: Collecting Quantitative Data
PDU 211 Research Methods: Collecting Quantitative DataPDU 211 Research Methods: Collecting Quantitative Data
PDU 211 Research Methods: Collecting Quantitative Data
Agatha N. Ardhiati
 
PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...
PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...
PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...
Agatha N. Ardhiati
 
PDU 211 Research Methods: The Process of Conducting Research
PDU 211 Research Methods: The Process of Conducting ResearchPDU 211 Research Methods: The Process of Conducting Research
PDU 211 Research Methods: The Process of Conducting Research
Agatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Narrative Recording
PDU 214 Methods of Observation & Interviewing: Narrative RecordingPDU 214 Methods of Observation & Interviewing: Narrative Recording
PDU 214 Methods of Observation & Interviewing: Narrative Recording
Agatha N. Ardhiati
 
PDU 202 Qualitative Research Method: Data Analysis
PDU 202 Qualitative Research Method: Data AnalysisPDU 202 Qualitative Research Method: Data Analysis
PDU 202 Qualitative Research Method: Data Analysis
Agatha N. Ardhiati
 

More from Agatha N. Ardhiati (13)

PDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
PDU 214 Methods of Observation & Interviewing: Interviewing - IntroductionPDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
PDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
 
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
 
PDU 303 Psychometrics: Item Analysis
PDU 303 Psychometrics: Item AnalysisPDU 303 Psychometrics: Item Analysis
PDU 303 Psychometrics: Item Analysis
 
PDU 303 Psychometrics: Item Construction
PDU 303 Psychometrics: Item ConstructionPDU 303 Psychometrics: Item Construction
PDU 303 Psychometrics: Item Construction
 
PDU 303 Psychometrics: Test Specification
PDU 303 Psychometrics: Test SpecificationPDU 303 Psychometrics: Test Specification
PDU 303 Psychometrics: Test Specification
 
PDU 214 Methods of Observation & Interviewing: Observations
PDU 214 Methods of Observation & Interviewing: ObservationsPDU 214 Methods of Observation & Interviewing: Observations
PDU 214 Methods of Observation & Interviewing: Observations
 
PDU 211 Research Methods: Collecting Qualitative Data
PDU 211 Research Methods: Collecting Qualitative DataPDU 211 Research Methods: Collecting Qualitative Data
PDU 211 Research Methods: Collecting Qualitative Data
 
PDU 211 Research Methods: Analyzing & Interpreting Quantitative Data
PDU 211 Research Methods: Analyzing & Interpreting Quantitative DataPDU 211 Research Methods: Analyzing & Interpreting Quantitative Data
PDU 211 Research Methods: Analyzing & Interpreting Quantitative Data
 
PDU 211 Research Methods: Collecting Quantitative Data
PDU 211 Research Methods: Collecting Quantitative DataPDU 211 Research Methods: Collecting Quantitative Data
PDU 211 Research Methods: Collecting Quantitative Data
 
PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...
PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...
PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...
 
PDU 211 Research Methods: The Process of Conducting Research
PDU 211 Research Methods: The Process of Conducting ResearchPDU 211 Research Methods: The Process of Conducting Research
PDU 211 Research Methods: The Process of Conducting Research
 
PDU 214 Methods of Observation & Interviewing: Narrative Recording
PDU 214 Methods of Observation & Interviewing: Narrative RecordingPDU 214 Methods of Observation & Interviewing: Narrative Recording
PDU 214 Methods of Observation & Interviewing: Narrative Recording
 
PDU 202 Qualitative Research Method: Data Analysis
PDU 202 Qualitative Research Method: Data AnalysisPDU 202 Qualitative Research Method: Data Analysis
PDU 202 Qualitative Research Method: Data Analysis
 

Recently uploaded

Normal Labour/ Stages of Labour/ Mechanism of Labour
Normal Labour/ Stages of Labour/ Mechanism of LabourNormal Labour/ Stages of Labour/ Mechanism of Labour
Normal Labour/ Stages of Labour/ Mechanism of Labour
Wasim Ak
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
JosvitaDsouza2
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
Jean Carlos Nunes Paixão
 
Advantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO PerspectiveAdvantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO Perspective
Krisztián Száraz
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
Jisc
 
Language Across the Curriculm LAC B.Ed.
Language Across the  Curriculm LAC B.Ed.Language Across the  Curriculm LAC B.Ed.
Language Across the Curriculm LAC B.Ed.
Atul Kumar Singh
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
Balvir Singh
 
A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
Peter Windle
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
EugeneSaldivar
 
Multithreading_in_C++ - std::thread, race condition
Multithreading_in_C++ - std::thread, race conditionMultithreading_in_C++ - std::thread, race condition
Multithreading_in_C++ - std::thread, race condition
Mohammed Sikander
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
Delapenabediema
 
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptxA Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
thanhdowork
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
Mohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
 
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Dr. Vinod Kumar Kanvaria
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
Celine George
 
Marketing internship report file for MBA
Marketing internship report file for MBAMarketing internship report file for MBA
Marketing internship report file for MBA
gb193092
 
Best Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDABest Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDA
deeptiverma2406
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
Peter Windle
 
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp NetworkIntroduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
TechSoup
 

Recently uploaded (20)

Normal Labour/ Stages of Labour/ Mechanism of Labour
Normal Labour/ Stages of Labour/ Mechanism of LabourNormal Labour/ Stages of Labour/ Mechanism of Labour
Normal Labour/ Stages of Labour/ Mechanism of Labour
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
 
Advantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO PerspectiveAdvantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO Perspective
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
 
Language Across the Curriculm LAC B.Ed.
Language Across the  Curriculm LAC B.Ed.Language Across the  Curriculm LAC B.Ed.
Language Across the Curriculm LAC B.Ed.
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
 
A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
 
Multithreading_in_C++ - std::thread, race condition
Multithreading_in_C++ - std::thread, race conditionMultithreading_in_C++ - std::thread, race condition
Multithreading_in_C++ - std::thread, race condition
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
 
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptxA Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
 
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
 
Marketing internship report file for MBA
Marketing internship report file for MBAMarketing internship report file for MBA
Marketing internship report file for MBA
 
Best Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDABest Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDA
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
 
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp NetworkIntroduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
 

PDU 207 Basic Statistics: Introduction to Statistics

  • 1. PDU 207 STATISTIK DASAR SEKSI E SEMESTER GASAL 2016/2017 FAKULTAS PSIKOLOGI / PROGRAM STUDI S1 PSIKOLOGI Introduction to
 Statistics KULIAH II – 15 AGUSTUS 2016
  • 2. Menguasai teknik-teknik statistika deskriptif dan statistika inferensial, secara khusus terkait dengan: • Berbagai istilah/terminologi statistik, pengukuran, dan penelitian,
 serta berbagai notasi dasar analisis statistik yang akan
 digunakan seterusnya dalam MK Statistik Dasar maupun MK lain; • Relevansi logika dan perhitungan statistik dalam proses penelitian
 secara umum. One-Day Objectives
  • 3. PDU 207 STATISTIK DASAR 2016 © Ardhiati 3 KARAKTERISTIK PACAR IDEAL (LAKI-LAKI) KARAKTERISTIK PACAR IDEAL (PEREMPUAN) JUMLAH
 (MANTAN) PACAR USIA SAAT
 PACARAN
 PERTAMA KALI STATISTICS
  • 4. PDU 207 STATISTIK DASAR 2016 © Ardhiati What is Statistics? 4 used to organize and summarize
 the information; Statistics Serve General Purposes help to answer the questions
 that initiated the research
 by determining exactly what general conclusions are justified based
 on the specific results
 that were obtained. (Gravetter & Wallnau, 2012: 5) ICON SOURCES: Office Folders by Stanislav Levin,
 QA by Annie Lin; from the Noun Project
  • 5. PDU 207 STATISTIK DASAR 2016 © Ardhiati 5 The term statistics refers to
 a set of mathematical procedures
 for organizing, summarizing,
 and interpreting information. (Gravetter & Wallnau, 2012: 5)
  • 6. PDU 207 STATISTIK DASAR 2016 © Ardhiati Population & Samples 6 THE POPULATION THE SAMPLE the set of all the individuals of interest in a particular study a set of individuals selected from a population, usually intended to represent the population in a research study The sample is selected from the population The results from the sample are generalized
 to the population (Gravetter & Wallnau, 2012: 5-6) ICON SOURCES: Group by christoph robausch,
 Team by christoph robausch; from the Noun Project
  • 7. PDU 207 STATISTIK DASAR 2016 © Ardhiati Population & Samples 7 Usia Pacaran Pertama Kali pada Mahasiswa FP UAJ Rata-rata = 9 th Semua laki-laki POPULATION SAMPLE (1) SAMPLE (2) Rata-rata = 13 th 3 Laki-laki, 2 Perempuan ICON SOURCES: Group by christoph robausch;
 from the Noun Project
  • 8. PDU 207 STATISTIK DASAR 2016 © Ardhiati Population & Samples 8 SAMPLING ERROR SAMPLE (1) SAMPLE (2) ICON SOURCES: Group by christoph robausch;
 from the Noun Project POPULATION
  • 9. PDU 207 STATISTIK DASAR 2016 © Ardhiati Model of Statistical Inference 9 POPULATION SAMPLE SAMPLING PARAMETER STATISTICS MEASUREMENT MEASUREMENT (Gravetter & Wallnau, 2012: 7-8) ICON SOURCES: Group by christoph robausch;
 from the Noun Project
  • 10. PDU 207 STATISTIK DASAR 2016 © Ardhiati Model of Statistical Inference 10 SAMPLE STATISTICSMEASUREMENT (Gravetter & Wallnau, 2012: 7-8) ICON SOURCES: Group by christoph robausch;
 from the Noun Project DESCRIPTIVE STATISTICS
  • 11. PDU 207 STATISTIK DASAR 2016 © Ardhiati Model of Statistical Inference 11 POPULATION SAMPLE STATISTICSMEASUREMENT (Gravetter & Wallnau, 2012: 7-8) ICON SOURCES: Group by christoph robausch;
 from the Noun Project INFERENTIAL STATISTICS
  • 12. PDU 207 STATISTIK DASAR 2016 © Ardhiati Data Structures, Research Methods, 12 & STATISTICS PROPORTION/ PERCENTAGE CORRELATIONAL METHOD EXPERIMENTAL & NON-EXPERIMENTAL METHOD Comparing two (or more) groups of scores Describe individual variables
 as they exist naturally Measuring two variables
 for each individual EXAMPLE Independent Variable:
 Genre Musik Dependent Variable:
 Tingkat Pemahaman Statistik Dasar EXAMPLE Variabel:
 Usia Pacaran Pertama Kali EXAMPLE Variabel 1:
 Jumlah Pacar Variabel 2:
 Time-Management Skills INDIVIDUAL VARIABLE RELATIONSHIP
 BETWEEN VARIABLES (Gravetter & Wallnau, 2012: 12-20) ICON SOURCES: Pie Chart by Berkay Sargın, Link by Joris Hoogendoorn,
 Experiment by Creative Stall; from the Noun Project
  • 13. PDU 207 STATISTIK DASAR 2016 © Ardhiati Data Structures, Research Methods, 13 describe individual variables as they exist naturally & STATISTICS PROPORTION/PERCENTAGE Variabel:
 Usia Pacaran Pertama Kali (Gravetter & Wallnau, 2012: 12-20) ICON SOURCES: Pie Chart by Berkay Sargın; from the Noun Project SUBJEK USIA PACARAN PERTAMA KALI A 9 B 18 C 11 D 13 E 10 F 16 G 16 H 17
  • 14. PDU 207 STATISTIK DASAR 2016 © Ardhiati Data Structures, Research Methods, 14 two different variables are observed to determine whether there is
 a relationship between them & STATISTICS CORRELATIONAL METHOD Variabel 1:
 Jumlah Pacar Variabel 2:
 Time-Management Skills (Gravetter & Wallnau, 2012: 12-20) ICON SOURCES: Link by Joris Hoogendoorn; from the Noun Project SUBJEK JUMLAH
 PACAR TIME-MANAGEMENT
 SKILLS A 1 Sangat Buruk 1 B 1 Sangat Buruk 1 C 2 Sangat Buruk 1 D 1 Buruk 2 E 3 Baik 3 F 3 Baik 3 G 1 Buruk 2 H 4 Sangat Baik 4
  • 15. PDU 207 STATISTIK DASAR 2016 © Ardhiati Data Structures, Research Methods, 15 to demonstrate a cause-and-effect relationship between two variables; attempts to show that changing the value of one variable causes changes
 to occur in the second variable & STATISTICS THE EXPERIMENTAL METHOD (Gravetter & Wallnau, 2012: 12-20) ICON SOURCES: Experiment by Creative Stall; from the Noun Project Independent Variable:
 Genre Musik Dependent Variable:
 Tingkat Pemahaman Statistik Dasar CHARACTERISTICS: • Manipulation • Control POP JAZZ 30 80 35 75 45 90 45 85 40 90
  • 16. PDU 207 STATISTIK DASAR 2016 © Ardhiati Data Structures, Research Methods, 16 to demonstrate a cause-and-effect relationship between two variables; attempts to show that changing the value of one variable causes changes
 to occur in the second variable & STATISTICS THE NON-EXPERIMENTAL METHOD (Gravetter & Wallnau, 2012: 12-20) ICON SOURCES: Experiment by Creative Stall; from the Noun Project Quasi-Independent Variable:
 Status Pacaran Dependent Variable:
 Familiaritas terhadap Adegan Percintaan CHARACTERISTICS: • Manipulation • Control (+) PACAR (-) PACAR 9 4 10 3 12 3 12 4 8 0
  • 17. PDU 207 STATISTIK DASAR 2016 © Ardhiati 17 WANT TO KNOW MORE? Gravetter, F.J. & Wallnau, L.B. (2012).
 Statistics for the behavioral sciences (9th ed.).
 Australia: WADSWORTH CENGAGE Learning.