Further- Chapter 1- Organising and Recognising Data

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Author:
jt.mcrae
ID:
59301
Filename:
Further- Chapter 1- Organising and Recognising Data
Updated:
2011-01-11 22:35:56
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Organising Recognising Data
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Organising and Recognising Data
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  1. What are variables
    Thing we record information about

    • CATEGORICAL
    • - represents qualities or attribute

    • NUMERICAL
    • -represents quantities
    • -discrete= "how many"
    • - continuous= measured variables, eg height
  2. What is the mode
    The mode or modal value is the most frequently occurring value or category
  3. Explain histogram shape
    • Symmetrical distribution
    • -single or double peak where it trails off evenly on either side

    • Skewed distribution
    • - histogram trails off predominantly to one side
    • - right = positive skew
    • - left = negative skew
  4. Explain histogram outliers
    Any data that stands our from the main body of data and therefore atypically high or low
  5. Explain histogram centre
    The centre of distribution is the place where half the area of the histogram is on either side
  6. Explain histogram spread
    • Whether the histogram is narrow or wide
    • range= largest value - smallest value

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