Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data was gathered.
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For data from skewed distributions, the median is better than the mean because it isn't influenced by extremely large values. For round things you need a center finder. The two main numerical measures for the center of a distribution are the mean and the median.
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Which calculation do you believe is the best measure of center for data, if the. The mean is the most frequently used measure of central tendency. For data from skewed distributions, the median is better than the mean because it isn't influenced by extremely large values. It allows us to locate the center of gravity of a distribution.
