Statistical Significance: Little Quick Fix

You can't get anywhere in your statistics course without grasping statistical significance. it's often seen as difficult but is actually a straightforward concept everyone can - and should - understand. Do your results mean something - or not? How can you measure it? Breaking it down into three building blocks, this Little Quick Fix shows students how to master:

- hypothesis testing - normal distribution - p values Students will learn how to understand the concept and also how to explain it for maximum effect in their essays and lab reports. Good for results - this is also a secret weapon for critical thinking.

Little Quick Fix titles provide quick but authoritative answers to the problems, hurdles, and assessment points students face in the research course, project proposal, or design - whatever their methods learning is.

Lively, ultra-modern design; full-colour, each page a tailored design. An hour's read. Easy to dip in and out of with clear navigation enables the reader to find what she needs - quick. Direct written style gets to the point with clear language. Nothing needs to be read twice. No fluff. Learning is reinforced through a 2-minute overview summary; 3-second summaries with super-quick Q&A DIY tasks create a work plan to accomplish a task, do a self-check quiz, solve a problem, get students to what they need to show their supervisor. Checkpoints in each section make sure students are nailing it as they go and support self-directed learning. How do I know I'm done? Each Little Quick Fix wraps up with a final checklist that allows the reader to self-assess they've got what they need to progress, submit, or ace the test or task.

By:   John MacInnes
Imprint:   Sage Publications
Country of Publication:   United Kingdom
Weight:   140g
ISBN:   9781526466785
ISBN 10:   1526466783
Series:   Little Quick Fix
Pages:   120
Publication Date:   January 2019
Audience:   College/higher education ,  Primary
Format:   Paperback
Publisher's Status:   Unspecified

John MacInnes is Professor of Sociology at the University of Edinburgh. He has been teaching students quantitative methods and data analysis for thirty years. He has been Strategic Advisor to the UK Economic and Social Research Council on Quantitative Methods Training and currently advises the British Academy on quantitative skills, the UK Q-Step programme on statistics pedagogy and researches on statistics anxiety for the ESRC National Centre for Research Methods. He is a Fellow of the Academy of Social Sciences and the Royal Statistical Society, where he is a member of it Council. His own research and publications range over population ageing and demographic change, gender identity, national identity and the sociology of industry.