Statistical Significance

Little Quick Fix

John MacInnes (University of Edinburgh, UK), Author

$35.95 $30.35

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Sage Publications
11 February 2019

Data analysis: general; Research methods: general; Probability & statistics; Educational material

Series: 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 (University of Edinburgh UK), Author
Imprint: Sage Publications
Country of Publication: United Kingdom
Dimensions: Height: 176mm, Width: 125mm,
Weight: 140g
ISBN: 9781526466785
ISBN 10: 1526466783
Series: Little Quick Fix
Pages: 120
Publication Date: 11 February 2019
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Unspecified

Section 1: What is statistical significance and inference? Section 2: Why do I have to draw a random sample? Section 3: What is a normal distribution? Section 4: What is a standard error? Section 5: How do I calculate confidence intervals with standard errors? Section 6: What is a p-value? Section 7: What does a significant p-value actually mean?

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.