Statistics: A Complete Guide from Fundamentals to Advance Statistical Techniques
Paperback
Series: Business Study Books by Sanjay Mandavi, Book 47
Publisher: Independently Published
Published: Jun 17 2026
Pages: 586
Weight: 1.70
Height: 1.19 Width: 6.00 Depth: 9.00
Language: English
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
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