BCO of Inferential Statistics

BASIC COURSE OUTLINE OF INFERENTIAL STATISTICS

 

COURSE DESCRIPTION

This course highlights the concept of statistics for quantitative research method in terms of:

1.      Independent Samples t-test

2.      Dependent (Paired) Samples t-test

3.      Non-Parametric Test of t-tests

a.    Mann-Whitney test

b.    Wilcoxon Signed Rank

4.      Other Parametric Tests

a.    The Analysis of Variance (ANOVA)

b.    The Analysis of Covariance (ANCOVA)

1)        The assumptions of ANCOVA

2)        Conducting ANCOVA

c.    Correlational

d.    Simple Linear Regression

 

COURSE OBJECTIVE

At the end of the course the students are expected to have theoretical and practical knowledge of:

1.      Describing appropriate application of displaying and analyzing quantitative research data;

2.      Conducting test assumptions.

3.      Conducting parametric tests to analyze the data;

4.      Conducting non parametric as alternative tests in analyzing the data;

5.      Interpreting the result of the data analyses.

 

MEETING SCHEDULE

 

MEETING	TOPICS
1	Basic Course Outline (BCO) and Introduction to the course
2	Review: Formulating hypotheses and testing hypotheses (Independent sample t-test and Paired sample t-test)
3	Mann – Whitney test
4	Wilcoxon Signed Rank
5	Applying Mann – Whitney test and Wilcoxon Signed Rank (by using SPSS program) and interpreting the result.
6	The Analysis of Variance (ANOVA)
7	Applying ANOVA in testing hypotheses (by using SPSS program) and interpreting the result
8	Mid-term Test
9	The assumptions of ANCOVA
10	Applying the assumptions test of ANCOVA (by using SPSS program) and interpreting the result
11	The Analysis of Covariance (ANCOVA)
12	Applying ANCOVA in testing hypotheses (by using SPSS program) and interpreting the result
13	Correlational
14	Simple Linear Regression
15	Applying Correlational and Simple Linear Regression in testing hypotheses (by using SPSS program) and interpreting the result
16	Final Test