Statistical Techniques for Data Analysis: Basic book, to understand Statistical Techniques & useful for Data Analysis in research work for Education & Psychology

Editor

LAP LAMBERT Academic Publishing

Fecha de publicaci�n

2012

Idioma

Ingl�s

ISBN 10

3846587117

ISBN 13

9783846587119

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

New

Cat�logos de vendedores

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Sinopsis

The Statistical Techniques for Data Analysis contains, • Meaning and Definition of Statistics • Measurement and Enumeration • Statistical Frequency Distributions • Measures of Central Tendency • Measures of Variability • Deciles, Percentiles, Percentile Ranks and Standard Scores • Normal Curve • Correlation • Regression • Statistical Inference and Significance of Statistics • Difference Between Means and Other Statistics • Chi-square Test • Non-Parametric Tests • Special Methods of Correlation • ANOVA • Analysis of Variance and Factorial Designs • ANCOVA • Partial and Multiple Correlations • Scaling of Tests • Item Analysis • Reliability and Validity • Factor Analysis • Use of Computer in Educational Research. The book provide the clear understanding of basic descriptive and inferential statistics. It shows the practical understanding of statistics, in data analysis. It contains enough suitable illustrations for manual computation. This book will be useful for new researchers of M.Ed., M.Phil. and Ph.D., to choose the suitable techniques for data analysis.

Rese�a del editor

The Statistical Techniques for Data Analysis contains, � Meaning and Definition of Statistics � Measurement and Enumeration � Statistical Frequency Distributions � Measures of Central Tendency � Measures of Variability � Deciles, Percentiles, Percentile Ranks and Standard Scores � Normal Curve � Correlation � Regression � Statistical Inference and Significance of Statistics � Difference Between Means and Other Statistics � Chi-square Test � Non-Parametric Tests � Special Methods of Correlation � ANOVA � Analysis of Variance and Factorial Designs � ANCOVA � Partial and Multiple Correlations � Scaling of Tests � Item Analysis � Reliability and Validity � Factor Analysis � Use of Computer in Educational Research. The book provide the clear understanding of basic descriptive and inferential statistics. It shows the practical understanding of statistics, in data analysis. It contains enough suitable illustrations for manual computation. This book will be useful for new researchers of M.Ed., M.Phil. and Ph.D., to choose the suitable techniques for data analysis.

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