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Data Handling and Analysis

Distributions

  • 3 things to know
  • Paper 2

Overview

Normal, positively skewed and negatively skewed distributions, and where the mean, median and mode fall in each.

What you need to know

Answer each one before you reveal it.

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Key term

How does the shape of a normal distribution differ from a skewed one?

Key term

Where do the mean, median and mode fall in a positively skewed distribution?

Key term

Describe a negatively skewed distribution.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is the shape of a normal distribution?

    Model answer

    A symmetrical, bell-shaped curve.

  2. 2

    In a normal distribution, where do the mean, median and mode fall in relation to each other?

    Model answer

    They all coincide at the same central point.

  3. 3

    Describe the symmetry of a normal distribution.

    Model answer

    A normal distribution is symmetrical, meaning both halves of the curve are mirror images of each other around the central point.

  4. 4

    In a normal distribution, where do most scores tend to fall?

    Model answer

    Most scores cluster around the central point.

  5. 5

    What happens to the frequency of scores at the extremes of a normal distribution?

    Model answer

    Fewer scores occur at the extremes compared to the centre.

  6. 6

    In a positively skewed distribution, what is the order of the mode, median and mean from lowest to highest?

    Model answer

    Mode < median < mean.

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