Description

Book Synopsis
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.


Table of 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?

See Numbers in Data: Little Quick Fix

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    £12.09

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    Order before 4pm today for delivery by Sat 1 Aug 2026.

    A Paperback / softback by John MacInnes

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      View other formats and editions of See Numbers in Data: Little Quick Fix by John MacInnes

      Publisher: Sage Publications Ltd
      Publication Date: Publication Date: 07/02/2019
      ISBN13: 9781526466792, 978-1526466792
      ISBN10: 1526466791

      Description

      Book Synopsis
      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.


      Table of 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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