Introductory Statistics provides students an accessible entry point into the field of statistics, articulating its significance across a broad spectrum of applications. Recognizing the growing prominence of statistical tools in everyday information interpretation, the text elucidates the value of statistical principles for everyone, not exclusively those directly handling numerical data. The book presents a methodical exploration of descriptive and inferential statistics, detailing processes like hypothesis testing and confidence intervals. It discusses the use of various statistical methods, including probability distributions, sample distributions, t-distribution, ANOVA, and regression analysis in discerning trends and making predictions based on sample data. Practical examples illustrate statistical thinking and methods, spanning from traditional techniques to modern approaches such as bootstrapping and resampling. Introductory Statistics is apt for foundational courses in statistics at the undergraduate level. It is particularly beneficial to students undertaking studies in fields that involve empirical research, including social sciences, psychology, education, and health sciences.
