John Macinnes

See Numbers in Data (eBook, PDF)

Little Quick Fix

• Format: PDF

Produktbeschreibung

A key step in numeracy is being able to read and interpret tables and graphs. It's not as easy as it looks! It gets tested on exams and these are common questions where students will lose marks. This Little Quick Fix will prep students to make sure they're ready to read, interpret and produce tables and graphs that will score them good marks.

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.

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Produktdetails

• Verlag: SAGE Publications
• Seitenzahl: 136
• Erscheinungstermin: 14. Januar 2019
• Englisch
• ISBN-13: 9781526467171
• Artikelnr.: 54900337

Autorenporträt

From 2009 to 2014 John was the Strategic Advisor to the Economic and Social Research Council (ESRC) on quantitative methods training overseeing the genesis and launch of the Q-Step programme. From 2015 to 2020 he was Strategic Advisor to the British Academy on Quantitative skills and a member of the British Academy's High Level Strategy group on Quantitative Skills. John is a Chartered Statistician and was Vice President (Professional Affairs) of the Royal Statistical Society 2019-20. He has held research grants from the European Commission, UK ESRC, British Academy, Leverhulme trust and British, Spanish and Catalan government departments.

Inhaltsangabe

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?