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See Numbers in Data: Little Quick Fix (PDF eBook)


See Numbers in Data: Little Quick Fix (PDF eBook)

eBook by MacInnes, John

See Numbers in Data: Little Quick Fix (PDF eBook)

£8.99

ISBN:
9781526467171
Publication Date:
14 Jan 2019
Publisher:
Sage Publications
Imprint:
SAGE Publications Ltd
Pages:
136 pages
Format:
eBook
For delivery:
Download available
See Numbers in Data: Little Quick Fix (PDF eBook)

Description

A key step in numeracy is being able to read and interpret tables and graphs. ItOs not as easy as it looks! It gets tested on exams and these are common questions where students will lose marks. ThisaLittle Quick Fixawill prep students to make sure theyOre ready to read, interpret and produce tables and graphs that will score them good marks.Little Quick Fixatitles 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.O Lively, ultra-modern design;afull-colour, each page a tailored design.O An hours read.aEasy to dip in and out ofawithaclear navigation enables the reader to find what she needs - quick.O Direct written styleagets to the point with clear language. Nothing needs to be read twice. No fluff.O Learning is reinforced throughaa 2-minute overview summary; 3-second summaries with super-quick Q&AO DIY tasksacreate 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.O Checkpoints in each section make sure students are nailing it as they go and support self-directed learning.O How do I know IOm done?aEachaLittle Quick Fixawraps up with a final checklist that allows the reader to self-assess theyOve got what they need to progress, submit, or ace the test or task.

Contents

Section 1: Why is most data numerical data? Section 2: What is the average, level or central tendency of data? Section 3: What is the spread or dispersion of data? Section 4: How do I understand the data in a graph? Section 5: What are the five main kinds of graphs? Section 6: What is scientific notation? Section 7: How can I use and interpret numbers in data well?

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