Statistics: Measures of Central Tendency
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Questions and Answers

What does standard deviation summarize in a set of scores?

  • The total sum of all scores
  • The middle score of the data set
  • How far scores deviate from the mean (correct)
  • The most frequently occurring score

    • Which of the following best describes median?

  • The range of scores in the data set
  • The score that occurs most frequently
  • The average of all scores
  • The middle score in a sorted list of scores (correct)

    • What is the primary difference between accuracy and precision?

  • Accuracy relates to agreement among several measurements, while precision measures closeness to the true value
  • Accuracy is quantifiable, while precision is not
  • Accuracy is about how close the measurements are to the true value, while precision is how consistent the measurements are (correct)
  • Accuracy concerns only the highest score, while precision involves all scores

    • What is a measure of variability intended to indicate?

    <p>How widely scores are distributed around the central point</p> Signup and view all the answers

    In research, what does generalisation refer to?

    <p>The extent to which findings can be applied to a larger population</p> Signup and view all the answers

    Study Notes

    Measures of Central Tendency

    • Mean: The average score of all values in a dataset, calculated by summing all scores and dividing by the total number of scores.
    • Median: The middle score when a dataset is ordered from lowest to highest. If the dataset has an even number of scores, the median is the average of the two middle scores.
    • Mode: The score that appears most frequently in a dataset. A dataset can have multiple modes.

    Measures of Variability

    • Standard Deviation: A statistic that shows how much scores in a dataset spread or deviate from the mean. A larger standard deviation suggests a wider spread of scores.
    • Accuracy: How close a measurement is to the true value of what is being measured.

    Other Key Terms

    • Measure of Central Tendency: A statistic that represents the central or average value of a dataset. The mean, median, and mode are all measures of central tendency.
    • Measure of Variability: A statistic that describes how widely scores are dispersed or scattered around the central point.
    • Conclusion: A decision made about the meaning of the results obtained from a research study.
    • Generalization: A decision about the extent to which findings from a research study can be applied to other individuals or groups.
    • Precision: The level of agreement between repeated measurements of the same quantity. While precision suggests consistency, it doesn't indicate how close the measurements are to the true value.
    • True Value: The ideal or perfect measurement of a quantity. It's often impossible to determine the true value precisely, but it serves as a theoretical benchmark.

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    Description

    Test your knowledge on the key concepts of central tendency and variability in statistics. This quiz covers the mean, median, mode, standard deviation, and accuracy. Perfect for students looking to solidify their understanding of statistical measures.

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