Wow! eBook
Statistics: A Complete Guide from Fundamentals to Advance Statistical Techniques
Author(s): Sanjay Mandavi (Author)
- Publisher: Independently published
- Publication Date: June 17, 2026
- Language: English
- Print length: 584 pages
- ISBN-10: B0H5SV1535
- ISBN-13: 9798181596498
Book Description
What This Book Covers
Chapter 1 – Introduction to StatisticsIntroduces the meaning, scope, importance, types, and applications of statistics, along with key concepts such as population, sample, and data types.
Chapter 2 – Data Collection and Presentation
Explains methods of collecting data, classification techniques, frequency distributions, tabulation, and graphical representation.
Chapter 3 – Measures of Central Tendency
Covers mean, median, mode, weighted mean, geometric mean, and harmonic mean, along with their practical applications.
Chapter 4 – Measures of Dispersion
Focuses on variability and spread through range, variance, standard deviation, coefficient of variation, and related measures.
Chapter 5 – Probability Theory
Introduces probability concepts, events, conditional probability, Bayes’ theorem, and probability rules used in decision-making.
Chapter 6 – Random Variables
Examines discrete and continuous random variables, probability functions, expectation, variance, and their applications.
Chapter 7 – Probability Distributions
Discusses major distributions including Binomial, Poisson, Normal, Uniform, and Exponential distributions.
Chapter 8 – Sampling Techniques
Explores sampling methods, sample size determination, sampling errors, and practical applications.
Chapter 9 – Estimation Theory
Presents point estimation, interval estimation, confidence intervals, estimator properties, and maximum likelihood estimation.
Chapter 10 – Hypothesis Testing
Explains statistical testing procedures including Z-tests, T-tests, Chi-square tests, and decision-making principles.
Chapter 11 – Correlation and Regression
Covers correlation analysis, regression models, interpretation of results, and predictive applications.
Key Features
- Easy-to-understand explanations
- Logical chapter progression
- Comprehensive coverage of statistical topics
- Practical examples and applications
- Suitable for self-study and classroom learning
- Useful for academic, research, and professional purposes
- Strong foundation for advanced statistical studies
Who Should Read This Book?
This book is ideal for:
- Students of mathematics, statistics, economics, business, and science
- Teachers and educators
- Researchers and analysts
- Data enthusiasts and professionals
- Competitive examination candidates
- Anyone interested in learning statistical methods and data analysis
By the end of this book, readers will possess a solid understanding of statistical principles and the confidence to apply statistical techniques to real-world situations, research projects, and professional challenges.
Sanjay Research Group
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