How to Calculate the Mean Deviation of Data: Example with 2, 9, 3, 6, 9, 4
Learn how to calculate the mean deviation of a data set with a step-by-step example using the numbers 2, 9, 3, 6, 9, and 4.
0 views
The mean deviation of the given data set (2, 9, 3, 6, 9, 4) is approximately 2.67. To calculate this, first find the mean of the data, which is (2+9+3+6+9+4)/6 = 5.5. Then, calculate the absolute differences of each data point from the mean, which are 3.5, 3.5, 2.5, 0.5, 3.5, and 1.5. The mean of these absolute differences gives the mean deviation, which is (3.5+3.5+2.5+0.5+3.5+1.5)/6 = 2.67.
FAQs & Answers
- What is mean deviation in statistics? Mean deviation is the average of the absolute differences between each data point and the mean of the data set, measuring data variability.
- How do you calculate mean deviation? To calculate mean deviation, find the mean of the data set, subtract the mean from each data point taking absolute values, then average those absolute differences.
- Is mean deviation the same as standard deviation? No, mean deviation uses absolute differences from the mean, while standard deviation uses squared differences and is more sensitive to outliers.