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What is the absolute mean deviation of 12 4 6 12 10 8 4 4?

The mean absolute deviation of the given set of data {12, 4, 6, 12, 10, 8, 4} is 3.43 (rounded to two decimal places). The mean absolute deviation measures the average distance of each data point from the mean of the set, indicating the overall variability of the data.

How do you find the mean of the absolute deviation?

Take each number in the data set, subtract the mean, and take the absolute value. Then take the sum of the absolute values. Now compute the mean absolute deviation by dividing the sum above by the total number of values in the data set. Finally, round to the nearest tenth.

What is the mean absolute deviation of 87 75 85 77 74 82 90 88 79 81?

The Mean Absolute Deviation (MAD) of the data set 3, 1, 5, 5, 2, 3, 2, 3, 4, 2 is 1. This is calculated by finding the mean, determining the absolute deviations from the mean, and then taking the average of those absolute deviations.

Whats the mean absolute deviation of 6 2 8 4 8 6 8 8?

The mean absolute deviation (MAD) for the data set 87, 75, 85, 77, 74, 82, 90, 88, 79, 81 is 4.52. This was calculated by first finding the mean and then determining the absolute deviations of each data point from that mean. Finally, the average of those absolute deviations gives the MAD value.

What is the mean deviation of 2, 4, 6, 8, 10?

Step 1 We find the mean of the dataset i.e. (2+4+8+10)/4 = 6. Step 3 And add them i.e. 4+2+2+4 = 12. Step 4 Finally, we divide this sum by the total number of values in the dataset (4) that will give us the mean deviation. The answer is 12/4 = 3.

mean absolute deviation worksheet

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What is the mean absolute deviation of 6 2 8 4 8 6 8 8?

The mean absolute deviation (MAD) of the numbers 6, 2, 8, 4, 8, 6, 8, 8 is 1.75. This is calculated by first finding the mean of the data and then determining the average of the absolute differences from the mean.

How do I calculate the mean absolute deviation?

The mean absolute deviation (MAD) of the numbers 6, 2, 8, 4, 8, 6, 8, 8 is 1.75. This is calculated by first finding the mean of the data and then determining the average of the absolute differences from the mean. In this case, the mean is 6.25, and the absolute deviations sum to 14, leading to a MAD of 1.75.

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