Syllabus of Elementary Statistics

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.