Fundamentals of Statistical Inference: What Is the Meaning of Random Error?

Content Description. Published by Springer in 2022 as part of the SpringerBriefs in Applied Statistics and Econometrics series.The authors provide an accessible examination of the foundations of statistical inference and the role of random error in drawing conclusions from sample data. Topics include random sampling, sampling distributions, effect-size estimation, estimation uncertainty, p-values, null-hypothesis significance testing, inferential errors, and statistical inference in experiments. The book also addresses contemporary concerns about statistical significance, replication, and efforts to improve statistical inference beyond conventional p < .05 decision rules. Intended for graduate students, researchers, and statistical practitioners with a basic knowledge of statistics, particularly readers interested in the current debate over statistical reform and the appropriate interpretation of statistical evidence. Condition Description. Very Good. Clean, apparently unread copy with exterior shelf and storage wear. Covers show light rubbing and minor edge and corner wear, with some curling/waviness, particularly along the fore-edge. Spine and binding are sound. Page block is clean. Interior pages are clean and bright; no writing, underlining, or highlighting observed on inspection. Please see photographs for the book's exterior condition.…