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Year : 2017

Bibliography :

xiv+181 pp

ISBN : 9789386262479(HB), Price : $120.00 Add To Cart

ISBN : 9789386262486(PB), Price : $25.00Add To Cart

About the Book

This book presents the basic statistical concepts required for researchers and students ineducation, descriptive statistics, and advanced inferential statistics in a simple manner.Itmay be helpful to the learners in master’s level as well as doctoral level. It offers anintegral approach to the study of statistics placing due emphasis on theory and applicationof computational procedures in Statistics related to Educational research.

The book may be much helpful to thelearners from non-mathematical background.Thebook is characterized by lucid explanation, step by step demonstration of the useof statistical tools and chapters carrying practice problems. Research scholars and students of education and statistics may found the book useful. 

About Author

Prof (Dr) C. Naseema with more than twenty-one years of teaching experience is the Dean, Faculty of Education and the Director, School of Education of University of Calicut. She has completed four Major research projects aided by UGC, IIPA, and SSA. She has visited many foreign countries in association with her project work. She has authored 8 books and contributed papers to reputed books and journals.




1.   Statistics in Education

1.1.   Introduction

1.2   Stages of the Research Process

1.3   Why You Study Statistics in Educational Research?

1.4   Descriptive Statistics

1.5   Inferential Statistics

1.6   Measurement In Education/Psychology

1.7   Characteristics of Scales of Measurement

1.8   Frequency Distribution

1.9   Graphical Representation of Frequency Distribution

2.   Measures of Central Tendency

2.1   Arithmetic Mean

2.2   Median

2.3   Mode

2.4   The Range

2.5   Variance (s2) and the Standard Deviation (s)

2.6   Quartile Deviation

2.7   Average or Mean Deviation

2.8   Percentile Ranks

2.9   Derived Scores

3.   Normal Distribution

3.1   What are Normal Distributions?

3.2   Why are Normal Distributions Important?

3.3   The Standard Normal Distribution

3.4   Applications of the Normal Probability Curve

3.5   Skewness

3.6   Kurtosis

3.7   Introduction to the t-Distribution

3.8   Comparison of Normal Distribution and Students’ t-distribution

3.9   Degrees of Freedom

4.   Correlation

4.1   Correlation–An indication of Direction

4.2   Nature of the Relationship

4.3   Direction of the Relationship

4.4   Strength of the Relationship

4.5   Pearson’s Product-Moment Coefficient of Correlation

4.6   Bivariant Frequency Distribution

4.7   Interpretation of Pearson’s r

4.8   Spearman’s Coefficient of Correlation-r

5.   Regression

5.1   Regression Equations and Regression Coefficients

5.2   Relation of Regression to Correlation

5.3   Standard Error of Estimate

6.   Multiple Regression Theory and Analysis

6.1   Basic Ideas

6.2   Example with Two Independent Variables

6.3   Regression Graph

6.4   Assumptions behind Multiple Regression

6.5   Multiple Regression, Discriminant Analysis and Canonical Correlation

6.6   Canonical Correlation

7.   Inferential Statistics

7.1   Sampling

7.2   Method of Sampling

7.3   Sampling Distribution

7.4   Application of the Concept of Standard Error

8.   Tests of Significance of Difference Between Statistics

8.1   Levels of Significance

8.2   Errors in Hypothesis Testing

9.   Analysis of Variance (ANOVA)

9.1   Conditions/Basic Assumptions of ANOVA

9.2   Computing ANOVA

9.3   One-Way ANOVA

9.4   Summary of ANOVA

10.   Non-Parametric Tests

10.1   Why Nonparametric Statistical Tests?

10.2   Examples of Nonparametric Statistical Tests

10.3   Advantages of Non-parametric Statistics

10.4   Disadvantages of Non-parametric Tests

10.5   Chi-square (c2) Test

10.6   Mann–Whitney U-test

10.7   Sign-Rank Test

11.   Introduction to Statistical Package for Social Sciences

11.1   SPSS Menu and Toolbars

11.2   Data View

11.3   Working with the Data Editor

11.4   SPSS Viewer

11.5   Importing and Exporting Data

11.6   Guidelines for Creating Data Sets

11.7   Guidelines for Reporting Results



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