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Fundamentals of Statistics (3rd Edition) (Sullivan Statistics Series)
by:Michael Sullivan III
Michael Sullivan has done it again by offering college and university students another effective resource in his textbook Fundamentals of Statistics (3rd Edition) (Sullivan Statistics Series), ISBN 9780321641878. Putting his experience in the classroom to work, Sullivan sets out to address the daily challenges faced by instructors when teaching...
Michael Sullivan has done it again by offering college and university students another effective resource in his textbook Fundamentals of Statistics (3rd Edition) (Sullivan Statistics Series), ISBN 9780321641878. Putting his experience in the classroom to work, Sullivan sets out to address the daily challenges faced by instructors when teaching statistics. This text works to connect the foundational statistics concepts to the students' lives by helping them think critically, develop them into more informed consumers, and help them make better decisions. A streamlined edition challenges readers to grasp the foundational principles of statistics through effective instructional pedagogy and application opportunities to analyze data. Michael Sullivan has taught mathematics at both the high school and college level and currently serves as full-time professor of mathematics and statistics at Joliet Junior College. He is a seasoned writer with several textbooks in publication in addition to his Introductory Statistics Series, which include a Developmental Math series, and a Precalculus series. Sullivan strategically organizes the concepts of Fundamentals of Statistics (3rd Edition) (Sullivan Statistics Series) across four comprehensive sections and 12 chapters. This book begins with part I entitled 'Getting the Information You Need'' with a single chapter devoted to data collection. Part II delves into 'Descriptive Statistics' with chapters discussing creating tables and drawing pictures of data, numerically summarizing data, and describing the relation between two variables. 'Probability and Probability Distributions' is the focus of part III presenting various aspects of probability, discrete probability distributions, and the normal probability distribution. The final section of this book is part IV devoted to 'Inference-From Samples to Population.' These concluding chapters discuss sampling distributions, estimating the value of a partner using confidence intervals, hypothesis tests regarding a parameter, inferences on two samples, and finally, additional inferential procedures.
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