S2 English Pasca Silabus Statistika 2011
PROGRAM PASCASARJANA
UNIVERSITAS NEGERI YOGYAKARTA
SILABUS STATISTIKA
No. Dokumen
Semester
Revisi : 00
Tgl. berlaku
Nama praktek
Hal 1 dari 3
Jam pertemuan
Syllabus
Subject
: Elementary Statistics
Subject Code
: PAS303
SKS
:3
Lecturer
: Dr. Heri Retnawati
Major
: Research and Evaluation Education
Prerequisite
:-
Time
: Rabu Pk. 15.40-17.30
Competency Standards:
Competencies expected of graduates:
1. Identify the basic concepts and statistical parametric noparametrik
2. Comparing the descriptive and inferential statistics
3. Creating a frequency distribution
4. Creating different types of charts
5. Using the binomial distribution, Chi-Square, normal, t, and Fisher to test the
hypothesis
6. Selecting the appropriate statistical techniques to a research problem
7. Analyzing data with statistical ANOVA, correlation, regression analysis, and
anakova
8. Using the program SPSS package to analyze data
9. Interpreting the results of data analysis
Descriptions:
This course will discusse about the role of statistics in research, the
probability theory, the characteristics of statistical distribution and is widely used
sampling distributions: Binomial, Normal, Chi-square, Student-t, and Fisher,
descriptive statistics and inferential statistics for hypothesis testing with a normal
Dibuat oleh :
Heri
Retnawati
Dilarang memperbanyak sebagian atau seluruh isi dokumen
tanpa ijin tertulis dari Program Pascasarjana
Universitas Negeri Yogyakarta
Diperiksa oleh :
PROGRAM PASCASARJANA
UNIVERSITAS NEGERI YOGYAKARTA
SILABUS STATISTIKA
No. Dokumen
Semester
Revisi : 00
Tgl. berlaku
Nama praktek
Hal 2 dari 3
Jam pertemuan
distribution , chi square, t, and F, various techniques of data analysis, correlation
analysis, regression, analysis of variance, analysis of covariance, using a
nonparametric statistic. The discussion covers the basic concepts, application,
interpretation of the results of data analysis using SPSS software.
The detail of descriptions:
Lecture/
Week
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Competencies
Explain Sigma Notation
Explain the binomial distribution: Probability
theory, mean, standard deviation, reading tables,
and use the binomial distribution
Determine the frequency distribution, central
tendency, mean, median, mode, quartiles,
percentiles, graphics histogram, poligon, stem
and leaf, normalized score
Convidence Interval of mean
Convidence Interval of deviation standard
Determine the distribution of sampling, the error
type I, type II, and statistical power, sample tests,
univariate hypothesis
Perform two different test of groups with the
independent and dependent t distribution and the
assumption (Z test)
Perform two different test of groups with the
independent and dependent t distribution and the
assumption (t-test)
Mid term test
Perform Chi-Square Test
Perform F-test
Perform ANOVA and analysis the assumption
(part I)
Perform ANOVA and analysis the assumption
(part II)
Perform Correlation Analysis
Perform Regression Analysis
Perform analysis using SPSS software
Dibuat oleh :
Heri
Retnawati
Dilarang memperbanyak sebagian atau seluruh isi dokumen
tanpa ijin tertulis dari Program Pascasarjana
Universitas Negeri Yogyakarta
Material
Discrete distribution
Normal Distribution
Convidence Interval
Convidence Interval
Error types
Inferential Statistics
Inferential Statistics
Chi-Square Test
F-test
ANOVA
ANOVA
Correlation Analysis
Regression Analysis
Data Analysis usisng
SPSS
Diperiksa oleh :
PROGRAM PASCASARJANA
UNIVERSITAS NEGERI YOGYAKARTA
SILABUS STATISTIKA
No. Dokumen
Semester
Revisi : 00
Tgl. berlaku
Nama praktek
Hal 3 dari 3
Jam pertemuan
Evaluation of Learning Outcomes:
A. Class participation
10%
2. The task
30%
3. Midterm test
30%
4. The final exam
30%
Referencies:
1. Glass, G.V. & Hopkins, K.D. (1984). Statistical methods in education and
psychology. Engewood Cliffs, New Jersey: Prentice Hall, Inc.
2. Walpole, R.E. (2003). Pengantar Statistika (Terjemahan). Jakarta:
Gramedia.
Lecturer:
Heri Retnawati
Email: [email protected]
Phone number: 08122774435
Yogyakarta, 30 Agustus 2011
Lecturer
(Dr. Heri Retnawati)
NIP: 197301032000032001
Dibuat oleh :
Heri
Retnawati
Dilarang memperbanyak sebagian atau seluruh isi dokumen
tanpa ijin tertulis dari Program Pascasarjana
Universitas Negeri Yogyakarta
Diperiksa oleh :
UNIVERSITAS NEGERI YOGYAKARTA
SILABUS STATISTIKA
No. Dokumen
Semester
Revisi : 00
Tgl. berlaku
Nama praktek
Hal 1 dari 3
Jam pertemuan
Syllabus
Subject
: Elementary Statistics
Subject Code
: PAS303
SKS
:3
Lecturer
: Dr. Heri Retnawati
Major
: Research and Evaluation Education
Prerequisite
:-
Time
: Rabu Pk. 15.40-17.30
Competency Standards:
Competencies expected of graduates:
1. Identify the basic concepts and statistical parametric noparametrik
2. Comparing the descriptive and inferential statistics
3. Creating a frequency distribution
4. Creating different types of charts
5. Using the binomial distribution, Chi-Square, normal, t, and Fisher to test the
hypothesis
6. Selecting the appropriate statistical techniques to a research problem
7. Analyzing data with statistical ANOVA, correlation, regression analysis, and
anakova
8. Using the program SPSS package to analyze data
9. Interpreting the results of data analysis
Descriptions:
This course will discusse about the role of statistics in research, the
probability theory, the characteristics of statistical distribution and is widely used
sampling distributions: Binomial, Normal, Chi-square, Student-t, and Fisher,
descriptive statistics and inferential statistics for hypothesis testing with a normal
Dibuat oleh :
Heri
Retnawati
Dilarang memperbanyak sebagian atau seluruh isi dokumen
tanpa ijin tertulis dari Program Pascasarjana
Universitas Negeri Yogyakarta
Diperiksa oleh :
PROGRAM PASCASARJANA
UNIVERSITAS NEGERI YOGYAKARTA
SILABUS STATISTIKA
No. Dokumen
Semester
Revisi : 00
Tgl. berlaku
Nama praktek
Hal 2 dari 3
Jam pertemuan
distribution , chi square, t, and F, various techniques of data analysis, correlation
analysis, regression, analysis of variance, analysis of covariance, using a
nonparametric statistic. The discussion covers the basic concepts, application,
interpretation of the results of data analysis using SPSS software.
The detail of descriptions:
Lecture/
Week
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Competencies
Explain Sigma Notation
Explain the binomial distribution: Probability
theory, mean, standard deviation, reading tables,
and use the binomial distribution
Determine the frequency distribution, central
tendency, mean, median, mode, quartiles,
percentiles, graphics histogram, poligon, stem
and leaf, normalized score
Convidence Interval of mean
Convidence Interval of deviation standard
Determine the distribution of sampling, the error
type I, type II, and statistical power, sample tests,
univariate hypothesis
Perform two different test of groups with the
independent and dependent t distribution and the
assumption (Z test)
Perform two different test of groups with the
independent and dependent t distribution and the
assumption (t-test)
Mid term test
Perform Chi-Square Test
Perform F-test
Perform ANOVA and analysis the assumption
(part I)
Perform ANOVA and analysis the assumption
(part II)
Perform Correlation Analysis
Perform Regression Analysis
Perform analysis using SPSS software
Dibuat oleh :
Heri
Retnawati
Dilarang memperbanyak sebagian atau seluruh isi dokumen
tanpa ijin tertulis dari Program Pascasarjana
Universitas Negeri Yogyakarta
Material
Discrete distribution
Normal Distribution
Convidence Interval
Convidence Interval
Error types
Inferential Statistics
Inferential Statistics
Chi-Square Test
F-test
ANOVA
ANOVA
Correlation Analysis
Regression Analysis
Data Analysis usisng
SPSS
Diperiksa oleh :
PROGRAM PASCASARJANA
UNIVERSITAS NEGERI YOGYAKARTA
SILABUS STATISTIKA
No. Dokumen
Semester
Revisi : 00
Tgl. berlaku
Nama praktek
Hal 3 dari 3
Jam pertemuan
Evaluation of Learning Outcomes:
A. Class participation
10%
2. The task
30%
3. Midterm test
30%
4. The final exam
30%
Referencies:
1. Glass, G.V. & Hopkins, K.D. (1984). Statistical methods in education and
psychology. Engewood Cliffs, New Jersey: Prentice Hall, Inc.
2. Walpole, R.E. (2003). Pengantar Statistika (Terjemahan). Jakarta:
Gramedia.
Lecturer:
Heri Retnawati
Email: [email protected]
Phone number: 08122774435
Yogyakarta, 30 Agustus 2011
Lecturer
(Dr. Heri Retnawati)
NIP: 197301032000032001
Dibuat oleh :
Heri
Retnawati
Dilarang memperbanyak sebagian atau seluruh isi dokumen
tanpa ijin tertulis dari Program Pascasarjana
Universitas Negeri Yogyakarta
Diperiksa oleh :