Course Contents
1 Introduction, Importance and Limitations of Statistics
2 Microsoft Word and Power Point Applications
3 Binomial and Normal Distribution, Making SPSS data sheet
4 Probability and non-probability sampling techniques; Frequency, SPSS basics techniques
5 Hypothesis Testing: Null /Alternative hypothesis, SPSS Advanced techniques
6 T- Test and It’s types in SPSS, Assumptions and computer application
7 Type I and Type II Errors level of significance and critical ratio.
8 Tests of significance: Parametric Tests,
9 Non-parametric tests
10 Multivariate Analysis
11 Factor Analysis
12 Factor Analysis
13 Correlation
14 Linear Regression Analysis
15 Linear Regression Analysis
16 Multiple Regression Analysis
Course Synopsis
Course Description: This course will build on a brief review of basic statistics to cover traditional and recent data
analysis techniques, with a focus on SPSS. Parametric and non-parametric techniques ,correlation regression, and principal component analysis will be introduced.
Objectives:
• The objectives are, to make quantitative statements about a data set in terms of statistics
• Develop statistical models from data with parametric and non-parametric techniques
• Quantify spatially distributed data in terms of spatial statistics, estimate and model summary
• Able to conduct factor analysis on a certain tool
Course Learning Outcomes
The students will be capable of dealing with statistical data and advanced computerized analysis not only in their final research thesis but in variety of other projects.
Week 4: topic 6a, Multivariate Analysis (One-way ANOVA)
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Week 4: topic 5b, Non-parametric tests
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Week 1, topic 1c, Binomial and Normal Distribution
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Week 1: topic 1d, Making SPSS data sheet
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Week 2: topic 2a, Probability sampling techniques
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Week 2: topic 2b, Non probability sampling techniques
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Week 2: topic 2c, Hypothesis Testing: Null /Alternative hypothesis
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Week 3: topic 3a, t test (Paired sample t test)
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Week 3: topic 3b, t test (Paired sample t test assumptions)
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Week 3: topic 3c, t test (One sample and independent sample t test)
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Week 3: topic 3d, t test (independent sample t test assumptions)
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Week 3: topic 3e, t test (One sample t test assumptions)
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Week 3: topic 4, Type I and Type II Errors level of significance and critical ratio
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Week 4: topic 5a, Tests of significance: Parametric Tests
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Week 4: topic 6b, One-way ANOVA assumptions notes
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Week 4: topic 7a, Two-way ANOVA
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Week 4: topic 7b, Assumptions of Two-way ANOVA
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Week 5: topic 8a , Factor Analysis
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Week 5: topic 9a, Correlation
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Week 5: topic 9b, Assumptions of Correlation
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Week 5: topic 10a, Linear Regression Analysis
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Week 5: topic 10b, Assumptions of Linear Regression Analysis
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Week 5: topic 11a, Multiple Regression Analysis
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Week 5: topic 11b, Assumptions of Multiple Regression Analysis
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Week1, Topic 1a,Handouts on importance and limitations of statistics
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Week 1: topic 1b. Introduction and importance of statistics
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Book Title : SPSS for windows step by step: A simple guide and Reference
Author : Darren George & Paul Mallery
Edition : 14 edition
Publisher : Routledge
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Book Title : Statistics for Psychology
Author : Arthur Aron, Elliot J. Coups, Elaine N. Aron
Edition : 6 edition
Publisher : Pearson
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Book Title : Statistics for the Behavioral Sciences
Author : Frederick J. Gravetter & Larry B. Wallnau
Edition : 9th edition
Publisher : Thomson/Wadsworth
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Title : PPT slides on factor analysis
Type : Presentation
View PPT slides on factor analysis