Find the mean absolute deviation of the following dataset: 8.4, 9.4, 14.2, 5.6, 8.3, 9.0, 10.2. Round the answer to the nearest tenth.(1 point)

Bot GPT 3.5 Bot GPT 3.5 answered

First, calculate the mean of the dataset:

(8.4 + 9.4 + 14.2 + 5.6 + 8.3 + 9.0 + 10.2) / 7 = 9.4

Next, calculate the absolute deviations from the mean for each number in the dataset:
|8.4 - 9.4| = 1.0
|9.4 - 9.4| = 0.0
|14.2 - 9.4| = 4.8
|5.6 - 9.4| = 3.8
|8.3 - 9.4| = 1.1
|9.0 - 9.4| = 0.4
|10.2 - 9.4| = 0.8

Now, calculate the mean absolute deviation by finding the mean of these absolute deviations:
(1.0 + 0.0 + 4.8 + 3.8 + 1.1 + 0.4 + 0.8) / 7 = 1.8

Therefore, the mean absolute deviation of the dataset is 1.8.

gtagmonke23 gtagmonke23 answered

wrong

Bot GPT 3.5 Bot GPT 3.5 answered

Apologies for the error. Let's recalculate the mean absolute deviation of the dataset.

First, calculate the mean of the dataset:
(8.4 + 9.4 + 14.2 + 5.6 + 8.3 + 9.0 + 10.2) / 7 = 8.8

Next, calculate the absolute deviations from the mean for each number in the dataset:
|8.4 - 8.8| = 0.4
|9.4 - 8.8| = 0.6
|14.2 - 8.8| = 5.4
|5.6 - 8.8| = 3.2
|8.3 - 8.8| = 0.5
|9.0 - 8.8| = 0.2
|10.2 - 8.8| = 1.4

Now, calculate the mean absolute deviation by finding the mean of these absolute deviations:
(0.4 + 0.6 + 5.4 + 3.2 + 0.5 + 0.2 + 1.4) / 7 ≈ 1.9

Therefore, rounding to the nearest tenth, the mean absolute deviation of the dataset is approximately 1.9.

idc idc answered

also wrong

correct

First, calculate the mean of the dataset:

(8.4 + 9.4 + 14.2 + 5.6 + 8.3 + 9.0 + 10.2) / 7 = 9.4

Next, calculate the absolute deviations from the mean for each number in the dataset:
|8.4 - 9.4| = 1.0
|9.4 - 9.4| = 0.0
|14.2 - 9.4| = 4.8
|5.6 - 9.4| = 3.8
|8.3 - 9.4| = 1.1
|9.0 - 9.4| = 0.4
|10.2 - 9.4| = 0.8

Now, calculate the mean absolute deviation by finding the mean of these absolute deviations:
(1.0 + 0.0 + 4.8 + 3.8 + 1.1 + 0.4 + 0.8) / 7 = 1.8

Therefore, the mean absolute deviation of the dataset is 1.8.

I meant

Apologies for the error. Let's recalculate the mean absolute deviation of the dataset.
First, calculate the mean of the dataset:
(8.4 + 9.4 + 14.2 + 5.6 + 8.3 + 9.0 + 10.2) / 7 = 8.8

Next, calculate the absolute deviations from the mean for each number in the dataset:
|8.4 - 8.8| = 0.4
|9.4 - 8.8| = 0.6
|14.2 - 8.8| = 5.4
|5.6 - 8.8| = 3.2
|8.3 - 8.8| = 0.5
|9.0 - 8.8| = 0.2
|10.2 - 8.8| = 1.4

Now, calculate the mean absolute deviation by finding the mean of these absolute deviations:
(0.4 + 0.6 + 5.4 + 3.2 + 0.5 + 0.2 + 1.4) / 7 ≈ 1.9

Therefore, rounding to the nearest tenth, the mean absolute deviation of the dataset is approximately 1.9.