Foundations of Descriptive & Inferential Statistics by H. van Elst
Foundations of Descriptive & Inferential Statistics - Table of Contents
- 1. Statistical Variables
- 2. Univariate Frequency Distributions
- 3. Measures for Univariate Distributions
- 4. Measures of Association for Bivariate Distributions
- 5. Descriptive Linear Regression Analysis
- 6. Elements of Probability Theory
- 7. Discrete and Continuous Random Variables
- 8. Standard Univariate Probability Distributions
- 9. Likert’s Scaling Method of Summated Item Ratings
- 10. Random Sampling of Target Populations
- 11. Null Hypothesis Significance Testing
- 12. Univariate Methods of Statistical Data Analysis
- 13. Bivariate Methods of Statistical Data Analysis
- A. Simple Principal Component Analysis
- B. Distance Measures in Statistics
- C. List of Online Survey Tools
- D. Glossary of Technical Terms
What You Will Learn in Foundations of Descriptive & Inferential Statistics
Foundations of Descriptive & Inferential Statistics by Henk van Elst is a comprehensive university-level introductory textbook designed to establish a solid mathematical ground for quantitative data analysis. This self-contained text breaks down essential concepts like frequency distributions, measures of central tendency, parametric inference, sampling distributions, and regression modeling into accessible, step-by-step lessons.
Perfect for undergraduate students in business administration, economics, social sciences, and applied statistics, this textbook balances intuitive data visualization with formal mathematical rigor. Dr. van Elst systematically guides readers through the entire analytical pipeline—starting from descriptive summary statistics and discrete probability models to confidence interval construction and bivariate association testing. Whether analyzing sample variance or conducting Chi-Square goodness-of-fit tests, learners will find this structured framework invaluable.
Recognized for its logical flow, clear pedagogical structure, and focus on foundational concepts, it remains one of the best descriptive and inferential statistics books pdf available for self-study. It systematically equips students with essential quantitative tools for mastering statistical inference with confidence.
Book Details & Specifications
Title:
Foundations of Descriptive & Inferential Statistics by H. van Elst
Publisher:
Arxiv.org
Year:
2019
Pages:
176
Type:
PDF
Language:
English
ISBN-10 #:
0060417218
ISBN-13 #:
978-0060417215
License:
Arxiv License
Amazon:
Amazon
About the Author: Henk van Elst
The author Henk van Elst
is a Professor of Statistics and Quantitative Methods at Karlshochschule International University in Karlsruhe, Germany. He holds a Ph.D. in Applied Mathematics from Queen Mary, University of London, specializing in general relativity and relativistic cosmology.
An experienced educator in quantitative analytics, Professor van Elst has authored several accessible lecture modules on mathematical methods, probability theory, and data analysis. His work on foundational descriptive and inferential statistics provides students worldwide with a clear, mathematically sound introduction to empirical research methodology.
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