| Author | Roseann Stivanson |
| Publisher | Independently published |
| Year | 2022 |
| Language | English |
| Pages | 145 |
| Size | 709 KB |
| Extension | EPUB |
Summary
"Development Of Statistics: The Fundamentals Of Inferential And Descriptive Statistics" by Roseann Stivanson, published in 2022, is a comprehensive introduction to the evolution and core principles of statistics. This 145-page book traces the historical development of statistical methods from their origins in ancient civilizations to the modern era, emphasizing how statistics has become an indispensable tool in science, business, and policy-making. Stivanson begins with the historical context, discussing early uses of data collection in censuses and surveys by ancient Egyptians and Romans, and how the Renaissance and Enlightenment periods saw the birth of probability theory through the works of pioneers like Blaise Pascal and Pierre de Fermat. The book then delves into the 19th century advancements with figures such as Carl Friedrich Gauss and his contributions to the normal distribution, and Adolphe Quetelet’s concept of the 'average man'. Moving into the 20th century, it covers the revolutionary work of Karl Pearson, Ronald Fisher, and Jerzy Neyman in developing inferential statistics, including hypothesis testing and confidence intervals. The descriptive statistics section explains measures of central tendency (mean, median, mode), dispersion (variance, standard deviation), and shape (skewness, kurtosis), with real-world examples from healthcare, economics, and social sciences. Readers learn how to summarize large datasets effectively using histograms, box plots, and scatter plots. Inferential statistics is explored through sampling techniques, probability distributions, and parametric tests like t-tests, ANOVA, and chi-square tests. Stivanson emphasizes the importance of understanding assumptions and limitations to avoid common pitfalls like p-hacking or misinterpretation of correlation as causation. Practical applications are highlighted, such as using statistics in medical trials to determine drug efficacy or in market research to predict consumer behavior. The book also addresses ethical considerations in statistics, including data privacy and bias in algorithms. With exercises at the end of each chapter, it encourages hands-on practice, making it suitable for self-study. The EPUB format at 709 KB ensures easy accessibility on digital devices. This book serves as a bridge between historical appreciation and practical mastery, ideal for students, researchers, and professionals seeking a solid foundation in statistics. Through its clear explanations and engaging narrative, Stivanson makes a potentially daunting subject approachable and fascinating, demonstrating how statistics underpins decision-making in our data-driven world.
Key Features
- Historical overview of statistics from ancient times to modern developments.
- Detailed explanations of descriptive statistics with visual aids and examples.
- Comprehensive coverage of inferential statistics, including hypothesis testing and confidence intervals.
- Practical exercises and real-world applications to reinforce learning.
- Discussion on ethical issues and common mistakes in statistical analysis.
- Accessible language suitable for beginners without sacrificing depth.
- Integration of probability theory with statistical methods.
- Compact EPUB format for convenient digital reading.
- References to key statisticians and their contributions.
- Focus on both theoretical foundations and practical implementation.
About Author
Roseann Stivanson is an educator and author specializing in the field of statistics and data analysis. With a background in mathematics and applied statistics, she has dedicated her career to making complex quantitative concepts accessible to a broad audience. Stivanson holds advanced degrees in statistics and has taught at various academic institutions, where she developed curricula focused on inferential and descriptive methods. Her passion for the history of statistics stems from years of research into how statistical thinking has evolved and influenced modern science and society. As an author, she has written several books aimed at demystifying statistics for students and professionals alike, emphasizing practical applications and ethical considerations. Although detailed personal information is limited, her works reflect a commitment to educational excellence, with clear, engaging prose that bridges theory and practice. Stivanson's contributions have helped many learners grasp the fundamentals of statistics, fostering a deeper appreciation for the discipline's role in decision-making and research.
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Frequently Asked Questions
Q: What can I learn by reading this book ?
A: By reading this book, you can learn about the historical development of statistics, fundamental concepts of descriptive and inferential statistics, practical applications in various fields, and ethical considerations in data analysis.
Q: This book is suitable for beginners?
A: Yes, this book is suitable for beginners as it starts with basic historical context and builds up to fundamental concepts with clear explanations and examples.
Q: This book is recommended for professionals?
A: Yes, professionals in data-related fields can benefit from the historical insights and refreshers on core statistical methods provided in the book.
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