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Course Contents

The aim of this course is to provide students with an introduction to basic statistical tools and quantitative methods that are useful in understanding the type of data encountered in Education. Importantly, it will provide a framework for approaching statistical problems, and experience in learning from associated data. The course also aims to provide familiarity with the use of SPSS software for statistical data analysis and problem solving. It also includes a section on qualitative data analysis to equip students to interpret and report all kinds of data in research.


Course Learning Outcomes

1. Explain the concepts, theories and techniques of statistical analysis 2. Use statistical skills to present data and apply all relevant statistical tools in SPSS 3. Use the standard statistical techniques to interpret and analyze real problems encountered in the discipline of Education 4. What coding qualitative data means (and why it’s important) 5. Different methods of coding qualitative data 6. How to manually code qualitative data to find significant themes in your data 7. Report written work which is presented coherently as per APA guidelines for Educational Research


Introduction to Statistics

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Relationship of statistics with Education

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Types of Data (Qualitative and Quantitative)

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Quantitative Data Analysis

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Types of Data (Grouped and Ungrouped data)

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Types of Quantitative data analysis (Descriptive and Inferential)

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Introduction to Descriptive Statistics

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Measures of central tendency (Mean, Mode, Median)

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Frequency distribution & Normal curve

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Computing cumulative frequency

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Percentile for group data

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Measures of Dispersion (Range, Variance, Standard Deviation)

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Symmetric and Skewed Data

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Graphical methods: bar graph, histograms graphs

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Introduction to Inferential Statistics

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Sample Vs. Population

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Types of inferential test (Parametric and non-Parametric tests)

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Types of parametric tests

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Types of T Test ( Dependent, Independent and Paired T Test)

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Hypothesis construction in ANOVA

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Types of ANOVA (one-way and two-way ANOVA)

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Correlation & Multiple Regression

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Reliability Analysis

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Factor Analysis

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Non- Parametric tests

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chi Square

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Chi Square data coding and analysis in SPSS

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hypothesis construction

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Quantitative analysis with SPSS

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Qualitative Data Analysis

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Thematic Analysis

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thematic analysis in qualitative research

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Reporting Result in APA style

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Independent t test Reporting Result in APA style

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Book Title : Statistics
Author : Dr. Faqir Muhammad
Edition : 2017
Publisher : Iqra foundation
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Title : Statistics course outline
Type : Curriculum Book

View Statistics course outline


Title : Week 1: Introduction to Statistics
Type : Scheme of Study

View Week 1: Introduction to Statistics


Title : Week 1 : Relationship of statistics with Education
Type : Scheme of Study

View Week 1 : Relationship of statistics with Education


Title : Week 1 : Relationship of statistics with Education
Type : Scheme of Study

View Week 1 : Relationship of statistics with Education


Title : Week 1: Types of data (Qualitative vs Quantitative)
Type : Scheme of Study

View Week 1: Types of data (Qualitative vs Quantitative)


Title : Week 1: Types of data (Qualitative vs Quantitative)
Type : Scheme of Study

View Week 1: Types of data (Qualitative vs Quantitative)


Title : Week 2: Quantitative Data Analysis
Type : Scheme of Study

View Week 2: Quantitative Data Analysis


Title : Week 2 : Types of Data (Grouped and Ungrouped data)
Type : Scheme of Study

View Week 2 : Types of Data (Grouped and Ungrouped data)


Title : Week 2: Types of Quantitative data analysis (Descriptive and Inferential)
Type : Scheme of Study

View Week 2: Types of Quantitative data analysis (Descriptive and Inferential)


Title : Week 3: Introduction to Descriptive Statistics
Type : Scheme of Study

View Week 3: Introduction to Descriptive Statistics


Title : week 3: Measures of central tendency (Mean, Mode, Median)
Type : Scheme of Study

View week 3: Measures of central tendency (Mean, Mode, Median)


Title : Week 3: Frequency distribution & Normal curve
Type : Scheme of Study

View Week 3: Frequency distribution & Normal curve


Title : Week : 3 Computing cumulative frequency & Percentile
Type : Scheme of Study

View Week : 3 Computing cumulative frequency & Percentile


Title : Week 4: Measures of Dispersion (Range, Variance, Standard Deviation)
Type : Scheme of Study

View Week 4: Measures of Dispersion (Range, Variance, Standard Deviation)


Title : Week 4: Symmetric and Skewed Data
Type : Scheme of Study

View Week 4: Symmetric and Skewed Data


Title : Week 4: Graphical methods: bar graph, histograms graphs
Type : Scheme of Study

View Week 4: Graphical methods: bar graph, histograms graphs


Title : Week 5: Introduction to Inferential Statistics
Type : Scheme of Study

View Week 5: Introduction to Inferential Statistics


Title : Week 5: Sample Vs. Population
Type : Scheme of Study

View Week 5: Sample Vs. Population


Title : Week 5: Types of inferential test (Parametric and non-Parametric tests)
Type : Scheme of Study

View Week 5: Types of inferential test (Parametric and non-Parametric tests)


Title : Week 6: types of parametric tests
Type : Scheme of Study

View Week 6: types of parametric tests


Title : Week 6: types of parametric tests
Type : Scheme of Study

View Week 6: types of parametric tests


Title : Week 6: Types of T Test ( Dependent, Independent and Paired T Test)
Type : Scheme of Study

View Week 6: Types of T Test ( Dependent, Independent and Paired T Test)


Title : week 7: Hypothesis construction in ANOVA
Type : Scheme of Study

View week 7: Hypothesis construction in ANOVA


Title : Week 7: Types of ANOVA (one-way and two-way ANOVA)
Type : Scheme of Study

View Week 7: Types of ANOVA (one-way and two-way ANOVA)


Title : Week 8: Correlation & Multiple Regression
Type : Scheme of Study

View Week 8: Correlation & Multiple Regression


Title : Week 8: Reliability Analysis
Type : Scheme of Study

View Week 8: Reliability Analysis


Title : Week 8: Factor Analysis
Type : Scheme of Study

View Week 8: Factor Analysis


Title : Week 9: Non- Parametric tests
Type : Scheme of Study

View Week 9: Non- Parametric tests


Title : Week 10: Chi Square
Type : Scheme of Study

View Week 10: Chi Square


Title : Week 10: hypothesis construction
Type : Scheme of Study

View Week 10: hypothesis construction


Title : Week 10: Data Coding and Testing
Type : Scheme of Study

View Week 10: Data Coding and Testing


Title : Week 10: Data coding and testing continue....
Type : Scheme of Study

View Week 10: Data coding and testing continue....


Title : Week 11-12: Quantitative analysis with SPSS
Type : Scheme of Study

View Week 11-12: Quantitative analysis with SPSS


Title : week 13-14: Qualitative Data Analysis
Type : Scheme of Study

View week 13-14: Qualitative Data Analysis


Title : Week 15: Reporting Result in APA style
Type : Scheme of Study

View Week 15: Reporting Result in APA style


Title : Week 15: Reporting Result in APA style continue...
Type : Scheme of Study

View Week 15: Reporting Result in APA style continue...