Measures of Variability Quiz
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Questions and Answers

Which term refers to the spread of values on either side of the center of a distribution?

  • Dispersion (correct)
  • Standard deviation
  • Variance
  • Mean deviation
  • Which measure of variability is a numerical value used to indicate how widely individuals in a group vary?

  • Variance (correct)
  • Standard deviation
  • Dispersion
  • Mean deviation
  • What does a large variance indicate?

  • Low uniformity of the items (correct)
  • High uniformity of the items
  • No variation among the values
  • No conclusion can be drawn
  • Which measure of variability provides a measure of the degree to which scores in a distribution vary?

    <p>Standard deviation</p> Signup and view all the answers

    What does a small standard deviation indicate?

    <p>High uniformity of the items</p> Signup and view all the answers

    Study Notes

    Measures of Variability

    • The spread of values on either side of the center of a distribution is referred to as variability.
    • Variability is a measure that indicates how widely individuals in a group vary, and it is represented by a numerical value.
    • Variance is a measure of variability that indicates the spread of values in a distribution.
    • A large variance indicates that the data points are widely spread out, while a small variance indicates that the data points are closer to the mean.
    • Standard deviation is another measure of variability that provides a measure of the degree to which scores in a distribution vary.
    • A small standard deviation indicates that the data points are closer to the mean, while a large standard deviation indicates that the data points are more dispersed.
    • In general, measures of variability help to understand the spread of data and give insights into how individual data points differ from the average value.

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    Description

    Test your knowledge on measures of variability such as mean deviation, variance, and standard deviation. Learn how to determine the spread of data points in a distribution and understand the concept of dispersion.

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