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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
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 and p values.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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