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  • 3.10: Measures of Central Tendency and Variability Exercises
    https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/03%3A_Descriptive_Statistics/3.10%3A_Measures_of_Central_Tendency_and_Variability_Exercises
    A little practice?
  • 3.E: Measures of Central Tendency and Spread (Exercises)
    https://stats.libretexts.org/Courses/Rio_Hondo_College/PSY_190%3A_Statistics_for_the_Behavioral_Sciences/03%3A_Measures_of_Central_Tendency_and_Spread/3.E%3A_Measures_of_Central_Tendency_and_Spread_(Exercises)
    If the mean time to respond to a stimulus is much higher than the median time to respond, what can you say about the shape of the distribution of response times? The median is defined as the value wit...If the mean time to respond to a stimulus is much higher than the median time to respond, what can you say about the shape of the distribution of response times? The median is defined as the value with 50% of scores above it and 50% of scores below it; therefore, 60% of score cannot fall above the median. If 60% of scores fall above the mean, that would indicate that the mean has been pulled down below the value of the median, which means that the distribution is negatively skewed
  • 3.E: Measures of Central Tendency and Spread (Exercises)
    https://stats.libretexts.org/Courses/Sacramento_City_Colllege/PSYC_330%3A_Statistics_for_the_Behavioral_Sciences_with_Dr._DeSouza/03%3A_Measures_of_Central_Tendency_and_Spread/3.E%3A_Measures_of_Central_Tendency_and_Spread_(Exercises)
    If the mean time to respond to a stimulus is much higher than the median time to respond, what can you say about the shape of the distribution of response times? The median is defined as the value wit...If the mean time to respond to a stimulus is much higher than the median time to respond, what can you say about the shape of the distribution of response times? The median is defined as the value with 50% of scores above it and 50% of scores below it; therefore, 60% of score cannot fall above the median. If 60% of scores fall above the mean, that would indicate that the mean has been pulled down below the value of the median, which means that the distribution is negatively skewed

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