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Data Analysis in Business Research: A Step-By-Step Nonparametric Approach

Author: D Israel

Description

The main motto of writing this book is to make students, researchers and practitioners aware of several statistical tools that are widely available for application in research projects for making meaningful interpretation by extracting most of the information available in the collected data. Many a times, students and researchers are baffled in the data analysis stage. Although a few analytical tools are learnt in the regular academic stream, the general concern is that such tools are often inadequate in enabling the students in analysing the volumes of data gathered by spending precious time. Even the extant books on Research Methodology and Statistics have failed to adequately cover the application side of the simple tools for data analysis especially for small sample size situations. Rather, these books either present a problem and solve it thus equipping the students to appear for examinations, or lack focus on the application of these techniques in research situations. A survey of available texts in this area revealed that not many books that combine all the necessary statistical tools that can be used as repository by the student and research communities were available.

Keywords

Wilcoxon Independent Chi-Squared Hypothesis McNemar Alternatives Extended Median Correlation Coefficient Interaction Nonparametric Interdependence

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