S2 English Pasca Silabus Statistika 2011

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PROGRAM PASCASARJANA UNIVERSITAS NEGERI YOGYAKARTA

SILABUS STATISTIKA

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Semester Nama praktek 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

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Universitas Negeri Yogyakarta

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SILABUS STATISTIKA

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 Competencies Material

1 Explain Sigma Notation

2 Explain the binomial distribution: Probability theory, mean, standard deviation, reading tables,

and use the binomial distribution Discrete distribution 3 Determine the frequency distribution, central

tendency, mean, median, mode, quartiles, percentiles, graphics histogram, poligon, stem

and leaf, normalized score Normal Distribution

4 Convidence Interval of mean Convidence Interval

5 Convidence Interval of deviation standard Convidence Interval 6 Determine the distribution of sampling, the error

type I, type II, and statistical power, sample tests,

univariate hypothesis Error types

7 Perform two different test of groups with the independent and dependent t distribution and the

assumption (Z test) Inferential Statistics

8 Perform two different test of groups with the independent and dependent t distribution and the

assumption (t-test) Inferential Statistics

9 Mid term test

10 Perform Chi-Square Test Chi-Square Test

11 Perform F-test F-test

12 Perform ANOVA and analysis the assumption

(part I) ANOVA

13 Perform ANOVA and analysis the assumption

(part II) ANOVA

14 Perform Correlation Analysis Correlation Analysis

15 Perform Regression Analysis Regression Analysis

16

Perform analysis using SPSS software Data Analysis usisng SPSS

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SILABUS STATISTIKA

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: Retnawati_heriuny@yahoo.co.id

Phone number: 08122774435

Yogyakarta, 30 Agustus 2011 Lecturer

(Dr. Heri Retnawati)

NIP: 197301032000032001

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