'"When a distribution is positively skewed, it means that:' there are more scores piled up at the low end of the range there are more scores piled up at the high end of the range all scores have the same frequency the scores are normally distributed'
Added by Michelle J.
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A distribution is positively skewed if it has a long tail to the right, meaning that there are a few high scores that pull the mean to the right of the median. So, if a distribution is positively skewed, it means that there are more scores piled up at the low Show more…
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When a distribution is skewed to the right it means that more scores piled up at the low end of the range. there is a ceiling effect. more scores piled up at the high end of the range. the scores are evenly distributed.
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