Janczyk Understanding inferential statistics 9783662667859

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Автор: Janczyk
Название: Understanding inferential statistics
ISBN: 9783662667859
Издательство: Springer
Классификация:

Вероятность и статистика

Биология и науки о жизни

Теория вычислительных машин и систем, кибернетика

ISBN-10: 3662667851
Обложка/Формат: Soft cover
Страницы: 201
Вес: 0.38 кг.
Язык: English
Иллюстрации: X, 175 p. 58 illus., 34 illus. in color. With online files/update.
Размер: 243 x 169 x 16
Читательская аудитория: Students
Основная тема: Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: What does this p-value actually mean? And what is a significant result? This book provides a compact and comprehension-oriented introduction to inferential statistics and answers questions like these. One focus is on the logic underlying inferential statistics and hypothesis testing: Readers learn the most commonly used procedures (t-test, analysis of variance with and without repeated measures, correlation/regression) as well as the pitfalls of data analysis, and develop the understanding necessary to interpret results correctly. The individual chapters are supplemented by concrete evaluation examples from everyday research - including exemplary implementation with the programs SPSS and R. In addition to the classic methods, cross-references to current developments in psychological methodological research are also included. This book is a translation of the original German 3rd edition of Inferenzstatistik verstehen by Markus Janczyk and Roland Pfister. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
Дополнительное описание: Introduction and descriptive statistics.- Basics of inferential statistics 1: random variables.- Basics of inferential statistics 2: population and parameter estimation.- Hypothesis testing and significance.- Difference hypotheses with a maximum of two gr

Understanding inferential statistics, Janczyk