Explain why the mean without the outliner could be a better description of the data set than the mean with the outliner.
2 answers:
Sometimes the outlier, if it's too large, can throw off the mean, making it larger and smaller, so it isn't as accurate
sorry if this doesnt make sense if you need me to explain it more I will
When you include the outlier, the men will be far away from the data set.
When you don't include the outlier, the mean will be within the data set.
Hope this helps :)
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