Traditional Approaches Focused On Significance Tests Have Often Been Difficult For Linguistics Researchers To Visualise. Statistics In Corpus Linguistics Research: A New Approach Breaks Significance Tests Down For Researchers In Corpus Linguistics And Linguistic Analysis, Promoting A Visual Approach To Understanding The Performance Of Tests With Real Data, And Demonstrating How To Derive New Confidence Intervals And Tests. This Fully-revised Second Edition Includes A Brand-new Chapter Describing A Novel Extended 'mover' Method To Derive Accurate Confidence Intervals For Numerous Properties. With Sample Datasets And Easy-to-read Visuals, This Book Focuses On Practical Issues, Such As How To: Pose Meaningful Research Questions In Terms Of Choice And Constraint; Employ Confidence Intervals Correctly (including In Graph Plots); Select A Significance Test (and Interpret Its Results); Construct Confidence Intervals For Functions Of Independent Proportions; Measure The Size Of The Effect Of One Variable On Another Or The Similarity Between Two Distributions; And Evaluate Whether The Results Of Two Experiments Significantly Differ. Appropriate For Anyone From The Student Just Beginning Their Career To The Seasoned Researcher, This Book Is Both A Practical Overview And Valuable Resource-- Provided By Publisher.