Psychology Measures of Central Tendency

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Questions and Answers

What are measures of central tendency?

  • Mean, median, and mode (correct)
  • Only mean and mode
  • Only median and range
  • None of the above

What is matched pairs design?

An experimental design where pairs of participants are matched on important characteristics and one member allocated to each condition of the IV.

How is the mean calculated?

By adding all the scores in a set of data together and dividing by the total number of scores.

How is the median determined?

<p>By arranging scores from lowest to highest and finding the middle score.</p> Signup and view all the answers

What is the mode?

<p>The most frequently occurring score in a set of data.</p> Signup and view all the answers

What does the range measure?

<p>The distance between the lowest and the highest value in a set of scores.</p> Signup and view all the answers

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Study Notes

Measures of Central Tendency

  • Measures of central tendency indicate the central point of a dataset, helping to summarize large amounts of data.
  • Key types include mean, median, and mode.

Matched Pairs Design

  • This experimental design pairs participants based on shared characteristics to minimize variability.
  • One participant from each pair is assigned to different conditions of the independent variable (IV).

Mean

  • The mean is calculated by summing all scores in a dataset and dividing by the total number of scores.
  • It provides a measure that balances all values, making it sensitive to extreme scores (outliers).

Median

  • The median is found by ordering the scores from lowest to highest and selecting the middle value.
  • If there is an even number of scores, the median is the average of the two central values, providing a robust measure less affected by outliers.

Mode

  • The mode represents the most frequently occurring score in a dataset.
  • It may be used with nominal data where mean or median cannot be calculated.

Range

  • The range is calculated by subtracting the lowest score from the highest score in a dataset.
  • It gives a simple measure of data spread, indicating the extent of variation but does not consider distribution characteristics.

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