A highly accessible alternative approach to basic statistics Praise
for the First Edition: "Certainly one of the most impressive little
paperback 200-page introductory statistics books that I will ever
see . . . it would make a good nightstand book for every
statistician."--Technometrics Written in a highly accessible style,
Introduction to Statistics through Resampling Methods and R, Second
Edition guides students in the understanding of descriptive
statistics, estimation, hypothesis testing, and model building. The
book emphasizes the discovery method, enabling readers to ascertain
solutions on their own rather than simply copy answers or apply a
formula by rote. The Second Edition utilizes the R programming
language to simplify tedious computations, illustrate new concepts,
and assist readers in completing exercises. The text facilitates
quick learning through the use of: More than 250 exercises--with
selected "hints"--scattered throughout to stimulate readers'
thinking and to actively engage them in applying their newfound
skills An increased focus on why a method is introduced Multiple
explanations of basic concepts Real-life applications in a variety
of disciplines Dozens of thought-provoking, problem-solving
questions in the final chapter to assist readers in applying
statistics to real-life applications Introduction to Statistics
through Resampling Methods and R, Second Edition is an excellent
resource for students and practitioners in the fields of
agriculture, astrophysics, bacteriology, biology, botany, business,
climatology, clinical trials, economics, education, epidemiology,
genetics, geology, growth processes, hospital administration, law,
manufacturing, marketing, medicine, mycology, physics, political
science, psychology, social welfare, sports, and toxicology who
want to master and learn to apply statistical methods.
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