which central tendency value is more accurate explain
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The mean is usually the best measure of central tendency to use when your data distribution is continuous and symmetrical, such as when your data is normally distributed.
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Which Is More Accurate?
The mean is the most accurate way of deriving the central tendencies of a group of values, not only because it gives a more precise value as an answer, but also because it takes into account every value in the list.
Step by step explaination:
For example, a group of five school children are taking part in a long jump competition; two of the children jump 1 foot, one jumps 2 feet, one jumps 4 feet and one jumps 8 feet. The values, in ascending order, are 1, 1, 2, 4 and 8, giving a median of 2 feet. The mean of the group of values is 3.2 feet. However, if the child who leapt 8 feet had in fact pulled off a jump of 16 feet, then the median would not change to accommodate this, whereas the mean would rise to 4.8 feet in response to the higher value. The median is more suited to discounting high or low results that are suspected to be
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