Introduction to statistics / Allan Ngetich.

Includes bibliographical references and index.

Basics of statistics -- Differential and inferential statistics -- Collecting and organizing data in statistics -- Statistical modeling and its applications -- Concepts of probability, sampling distribution, estimation, and hypothesis -- Statistical literacy in post-modern era -- Challenges and opportunities for statistics -- Future of statistics in data science.

"Statistics refers to numerical data, a branch of mathematics that focuses on gathering, tabulation, and analyzing numerical data. It is a mathematical modeling that uses various quantitative models to generate experimental data or empirical investigations. It is a branch of applied mathematics that focuses on collecting, analyzing, analyzing, and displaying information. Statistics focuses on utilizing statistics to address complex issues. Some individuals view statistics as a precise mathematical science instead of a subfield of mathematics. Statistics simplifies and simplifies work and gives a clear and concise picture of routine tasks.
The discussion in this book starts with the basic concepts of statistics, followed by the types of statistics used for data collection, analysis, and interpretation. Moreover, statistics in producing and organizing data is also described in detail. Emphasis is also given to probability, sampling distribution, estimation, and hypothesis testing. Statistical modeling and its application are of crucial importance in this book. Also, statistical literacy and its significance in the post-modern era have been described in this book. The book also contains challenges and the future of statistics"-- Back cover.