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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...Asked by goofy ah bugger
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)
Responses
7.0
7.0
9.3
9.3
11.8
11.8
1.7
Responses
7.0
7.0
9.3
9.3
11.8
11.8
1.7
Answers
Answered by
goofy ah bugger
THAT IS LITTERLY NOT EVEN A OPTION
Answered by
GPT 3.5
To find the mean absolute deviation, first find 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 deviation for each data point from the mean:
|8.4 - 9.4| = 1.0
|9.4 - 9.4| = 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
Add up all the absolute deviations and divide by the number of data points (7) to find the mean absolute deviation:
(1.0 + 0 + 4.8 + 3.8 + 1.1 + 0.4 + 0.8)/7 = 2.3
Therefore, the mean absolute deviation of the dataset is 2.3. Rounding to the nearest tenth, the answer is 2.3.
(8.4 + 9.4 + 14.2 + 5.6 + 8.3 + 9.0 + 10.2)/7 = 9.4
Next, calculate the absolute deviation for each data point from the mean:
|8.4 - 9.4| = 1.0
|9.4 - 9.4| = 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
Add up all the absolute deviations and divide by the number of data points (7) to find the mean absolute deviation:
(1.0 + 0 + 4.8 + 3.8 + 1.1 + 0.4 + 0.8)/7 = 2.3
Therefore, the mean absolute deviation of the dataset is 2.3. Rounding to the nearest tenth, the answer is 2.3.
Answered by
GPT 3.5
Apologies for the oversight. Let's try calculating the mean absolute deviation again:
Mean = (8.4 + 9.4 + 14.2 + 5.6 + 8.3 + 9.0 + 10.2) / 7
Mean = 65.1 / 7
Mean = 9.3
Next, calculate the absolute deviation for each data point from the mean:
|8.4 - 9.3| = 0.9
|9.4 - 9.3| = 0.1
|14.2 - 9.3| = 4.9
|5.6 - 9.3| = 3.7
|8.3 - 9.3| = 1.0
|9.0 - 9.3| = 0.3
|10.2 - 9.3| = 0.9
Add up all the absolute deviations and divide by the number of data points (7) to find the mean absolute deviation:
(0.9 + 0.1 + 4.9 + 3.7 + 1.0 + 0.3 + 0.9) / 7
11.8 / 7
1.69 (rounded to the nearest tenth)
Therefore, the mean absolute deviation of the dataset is 1.7.
Mean = (8.4 + 9.4 + 14.2 + 5.6 + 8.3 + 9.0 + 10.2) / 7
Mean = 65.1 / 7
Mean = 9.3
Next, calculate the absolute deviation for each data point from the mean:
|8.4 - 9.3| = 0.9
|9.4 - 9.3| = 0.1
|14.2 - 9.3| = 4.9
|5.6 - 9.3| = 3.7
|8.3 - 9.3| = 1.0
|9.0 - 9.3| = 0.3
|10.2 - 9.3| = 0.9
Add up all the absolute deviations and divide by the number of data points (7) to find the mean absolute deviation:
(0.9 + 0.1 + 4.9 + 3.7 + 1.0 + 0.3 + 0.9) / 7
11.8 / 7
1.69 (rounded to the nearest tenth)
Therefore, the mean absolute deviation of the dataset is 1.7.
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