mean deviation from the mean Antonyms
No Synonyms and anytonyms found
Meaning of mean deviation from the mean
mean deviation from the mean (n)
the arithmetic mean of the absolute values of deviations from the mean of a distribution
mean deviation from the mean Sentence Examples
- The mean deviation from the mean of the sample is a measure of variability that calculates the average distance of data points from the central tendency.
- By summing the absolute deviations from the mean and dividing by the total number of data points, we can determine the mean deviation.
- Mean deviation provides valuable insights into how scattered a distribution is around its mean.
- Compared to the standard deviation, mean deviation is less sensitive to outliers, making it a robust measure for skewed distributions.
- Calculating the mean deviation is straightforward and can be done manually or using statistical software.
- Industries often use mean deviation to evaluate the consistency and reliability of their processes or products.
- The mean deviation is a valuable metric for comparing the variability of two or more datasets with varying means.
- In financial analysis, mean deviation can assess the risk associated with an investment portfolio's returns.
- Mean deviation finds applications in various fields, including biology, engineering, and economics.
- By understanding mean deviation, researchers and practitioners can make informed decisions about the variability and dispersion of their data.
FAQs About the word mean deviation from the mean
the arithmetic mean of the absolute values of deviations from the mean of a distribution
No synonyms found.
No antonyms found.
The mean deviation from the mean of the sample is a measure of variability that calculates the average distance of data points from the central tendency.
By summing the absolute deviations from the mean and dividing by the total number of data points, we can determine the mean deviation.
Mean deviation provides valuable insights into how scattered a distribution is around its mean.
Compared to the standard deviation, mean deviation is less sensitive to outliers, making it a robust measure for skewed distributions.
