Final answer:
The mean absolute deviation of the dataset is calculated to be approximately 38.39, which is closest to option B) 37.
Step-by-step explanation:
To calculate the mean absolute deviation of a dataset, follow these steps:
- First, find the mean (average) of the dataset.
- Then, subtract the mean from each data value to find the deviations.
- Take the absolute value of each deviation.
- Finally, find the mean of these absolute values.
The dataset is: 125, 198, 209, 213, 101, and 178.
Calculating the mean:
(125 + 198 + 209 + 213 + 101 + 178) / 6 = 1024 / 6
= 170.67 (rounded to 2 decimal places)
Now, find the deviations and their absolute values:
- |125 - 170.67| = 45.67
- |198 - 170.67| = 27.33
- |209 - 170.67| = 38.33
- |213 - 170.67| = 42.33
- |101 - 170.67| = 69.67
- |178 - 170.67| = 7.33
Find the mean of these absolute values:
(45.67 + 27.33 + 38.33 + 42.33 + 69.67 + 7.33) / 6 = 230.36 / 6
= 38.39
Therefore, the mean absolute deviation of the dataset is approximately 38.39, which is closest to option B) 37.