What is the mean absolute deviation of 10,4,12,4,2,10,10,6?
Real Tutor Solution
Quick Answer
3.25
Step-by-step Solution
Step 1:
Calculate the mean (average) of the dataset:
\(\text { Mean} = \frac { 10 + 4 + 12 + 4 + 2 + 10 + 10 + 6} { 8} = \frac { 58} { 8} = 7.25\)
Step 2:
Find the absolute deviations from the mean for each data point:
\(| 10 - 7.25| = 2.75 \\
| 4 - 7.25| = 3.25 \\
| 12 - 7.25| = 4.75 \\
| 4 - 7.25| = 3.25 \\
| 2 - 7.25| = 5.25 \\
| 10 - 7.25| = 2.75 \\
| 10 - 7.25| = 2.75 \\
| 6 - 7.25| = 1.25\)
Step 3:
Calculate the mean of these absolute deviations:
\(\text { MAD} = \frac { 2.75 + 3.25 + 4.75 + 3.25 + 5.25 + 2.75 + 2.75 + 1.25} { 8} \\ = \frac { 26} { 8} \\ = 3.25\)
Step 4:
So, the mean absolute deviation is 3.25.
Supplemental Knowledge:
The mean absolute deviation (MAD) is a measure of variability that indicates the average distance between each data point and the mean of the dataset. It provides insight into the dispersion or spread of the data points.
To calculate the MAD, follow these steps:
1. Find the mean (average) of the dataset:
- Add all the numbers together.
- Divide by the number of data points.
2. Calculate the absolute deviations:
- Subtract the mean from each data point to find each deviation.
- Take the absolute value of each deviation (ignore negative signs).
3. Find the average of these absolute deviations:
- Add all absolute deviations together.
- Divide by the number of data points.
Real-Life Connections:
Mean Absolute Deviation (MAD) is widely utilized across fields like finance and quality control. In finance, understanding how much daily stock prices deviate from their average can enable investors to gauge market volatility more accurately and make informed decisions.
Manufacturing facilities often utilize MAD monitoring as part of their quality assurance measures by measuring how far individual items differ from an average standard size or weight; this helps ensure production remains on schedule.
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