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 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

#### 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.