Statistical Misconceptions (e-bog) af Huck, Schuyler W.
Huck, Schuyler W. (forfatter)

Statistical Misconceptions e-bog

436,85 DKK (inkl. moms 546,06 DKK)
This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Interactive Internet exercises that further promote undoing the misconceptions are found on the book's website.The author's accessible d...
E-bog 436,85 DKK
Forfattere Huck, Schuyler W. (forfatter)
Forlag Routledge
Udgivet 19 november 2015
Længde 288 sider
Genrer Psychology
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781317311560
This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Interactive Internet exercises that further promote undoing the misconceptions are found on the book's website.The author's accessible discussion of each misconception has five parts:The Misconception - a brief description of the misunderstandingEvidence that the Misconception Exists - examples and claimed prevalenceWhy the Misconception is Dangerous - consequence of having the misunderstandingUndoing the Misconception - how to think correctly about the conceptInternet Assignment - an interactive activity to help readers gain a firm grasp of the statistical concept and overcome the misconception.The book's statistical misconceptions are grouped into 12 chapters that match the topics typically taught in introductory/intermediate courses. However, each of the 52 discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook.An ideal supplement for undergraduate and graduate courses in statistics, research methods, or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences. The book also appeals to independent researchers interested in undoing their statistical misconceptions.