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Fundamentals of Statistics for Researchers and Data Analysts cover

Fundamentals of Statistics for Researchers and Data Analysts

by Shashi A. Chiplonkar, Jayashree S. Date

1st Edition

Publisher: Morgan Kaufmann

(0 reviews)
Computer Science & ITProbability & Statistics

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Book Details

Print ISBN9780443447518
eText ISBN9780443447525
PublisherMorgan Kaufmann
Publishing Year2026
Edition1st Edition
LanguageEnglish
Pages342

Fundamentals of Statistics for Researchers and Data Analysts, 1st Edition, by Shashi A. Chiplonkar and Jayashree S. Date, presents a foundational guide to quantitative methodology. The volume details statistical methods, required assumptions, and theoretical prerequisites for applying analytical software tools.

Coverage begins with foundational research planning, detailing study design, data collection procedures, and outlier identification strategies. Subsequent sections explore practical data analysis methods and establish frameworks for accurate result interpretation.

Analytical procedures, including classification techniques, correlation analysis, regression models, probability distributions, model building, and tests of significance, are demonstrated through Excel and SPSS applications. The text provides targeted support for data analysts as well as researchers operating within computer science, data science, data analysis, and mathematics.

Table of Contents

  1. Chapter 1: Statistical thinking approach for decision making

  2. Chapter 2: Preliminary Statistical Analysis

  3. Chapter 3: Probability Distributions

  4. Chapter 4: Statistical Models

  5. Chapter 5: Classification and Dimension Reduction Analysis

  6. Chapter 6: Statistical Inference

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