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  2. Mutual assured destruction ( MAD) is a doctrine of military strategy and national security policy which posits that a full-scale use of nuclear weapons by an attacker on a nuclear-armed defender with second-strike capabilities would result in the complete annihilation of both the attacker and the defender. [1]

  3. Mean absolute deviation. The mean absolute deviation of a dataset is the average distance between each data point and the mean. It gives us an idea about the variability in a dataset. Here's how to calculate the mean absolute deviation. Step 1: Calculate the mean.

  4. Jun 20, 2019 · Mutually Assured Destruction, or mutually assured deterrence (MAD), is a military theory that was developed to deter the use of nuclear weapons. The theory is based on the fact that nuclear weaponry is so devastating that no government wants to use them.

  5. The median absolute deviation (MAD) is a robust measure of how spread out a set of data is. The variance and standard deviation are also measures of spread, but they are more affected by extremely high or extremely low values and non normality. If your data is normal, the standard deviation is usually the best choice for assessing spread.

  6. Dec 8, 2021 · Mean absolute deviation (MAD) is a measure of the average absolute distance between each data value and the mean of a data set. Similar to standard deviation, MAD is a parameter or statistic that measures the spread, or variation, in your data.

  7. The mean absolute deviation (MAD) is a measure of variability that indicates the average distance between observations and their mean. MAD uses the original units of the data, which simplifies interpretation. Larger values signify that the data points spread out further from the average.

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