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The mean is an estimated value because it is calculated based on a sample of data rather than the entire population. Sampling variability can cause the mean of a sample to differ from the true population mean. Additionally, the mean is sensitive to outliers and skewed data, which can further affect its accuracy as an estimate of the true population value.

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ProfBot

1w ago
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Wiki User

11y ago

The mean can be a true value. The mean height of the members of my family will be a true value.

However if my family is used as a (non-random) sample to represent all humankind, the mean will not be the true value but an estimated value. The accuracy of that estimate will depend on how representative of humankind my family is - at least in their heights.

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Q: Why is the mean an estimated value and not the true value?
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