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How are mean and median alike and different? - Answers
Mean and median are both measures of central tendency used to summarize a set of data. They are alike in that they both provide a way to represent the typical value within a dataset. However, they differ in calculation: the mean is the average of all values, while the median is the middle value when the data is sorted in order. This distinction makes the mean sensitive to extreme values (outliers), whereas the median provides a better representation of the central location in skewed distributions.
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How are mean and median alike and different? - Answers
Mean and median are both measures of central tendency used to summarize a set of data. They are alike in that they both provide a way to represent the typical value within a dataset. However, they differ in calculation: the mean is the average of all values, while the median is the middle value when the data is sorted in order. This distinction makes the mean sensitive to extreme values (outliers), whereas the median provides a better representation of the central location in skewed distributions.
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How are mean and median alike and different? - Answers
Mean and median are both measures of central tendency used to summarize a set of data. They are alike in that they both provide a way to represent the typical value within a dataset. However, they differ in calculation: the mean is the average of all values, while the median is the middle value when the data is sorted in order. This distinction makes the mean sensitive to extreme values (outliers), whereas the median provides a better representation of the central location in skewed distributions.
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- og:descriptionMean and median are both measures of central tendency used to summarize a set of data. They are alike in that they both provide a way to represent the typical value within a dataset. However, they differ in calculation: the mean is the average of all values, while the median is the middle value when the data is sorted in order. This distinction makes the mean sensitive to extreme values (outliers), whereas the median provides a better representation of the central location in skewed distributions.
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