Intuitive Introductory Statistics

Douglas A. Wolfe, Grant Schneider (Autoren)

Buch | Softcover

XVIII, 976 Seiten

2017 | 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-56070-0 (ISBN)

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This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology associated with the normal distribution. What if the normal model is not valid for a particular data set? This cutting-edge approach provides the alternatives. It is an introduction to the world and possibilities of statistics that uses exercises, computer analyses, and simulations throughout the core lessons. These elementary statistical methods are intuitive. Counting and ranking features prominently in the text. Nonparametric methods, for instance, are often based on counts and ranks and are very easy to integrate into an introductory course. The ease of computation with advanced calculators and statistical software, both of which factor into this text, allows important techniques to be introduced earlier in the study of statistics. This book's novel scope also includes measuring symmetry with Walsh averages, finding a nonparametric regression line, jackknifing, and bootstrapping . Concepts and techniques are explored through practical problems. Quantitative reasoning is at the core of so many professions and academic disciplines, and this book opens the door to the most modern possibilities.

Douglas A. Wolfe is a Professor Emeritus in the Department of Statistics at The Ohio State University. Much of his current research is in ranked set sampling. He is also the author of a popular textbook on nonparametric statistics. Grant Schneider is a Data Scientist at Upstart Network in the San Francisco Bay area. Grant created the accompanying R package and is experienced with statistical programming for research and in the classroom. He received his PhD in Statistics from The Ohio State University.

Exploratory Data Analysis.- Exploring Bivariate Data and Categorical Data.- Designing a Survey or Experiment.- Understanding Random Events.- Sampling Distributions and Approximations.- Statistical Inference.- Appendices. Full TOC attached.

Erscheinungsdatum	28.09.2017
Reihe/Serie	Springer Texts in Statistics
Zusatzinfo	XVIII, 976 p. 120 illus., 86 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	178 x 254 mm
Gewicht	1828 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Statistik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
Schlagworte	Counting and ranking • Data Analysis Textbook • Introductory Statistics course • mathematics and statistics • nonparametric methods • Nonparametric regression line • probability & statistics • Probability & statistics • R software • Science: general issues • Social research & statistics • Social research & statistics • Statistical Theory and Methods • Statistics for Engineering, Physics, Computer Scie • Statistics for Social Science, Behavorial Science,
ISBN-10	3-319-56070-0 / 3319560700
ISBN-13	978-3-319-56070-0 / 9783319560700
Zustand	Neuware