To find the absolute deviation for each missing value, we can use the formula:
Absolute Deviation = |Data Point - Mean|
For the missing values:
- Absolute Deviation for the data point where 45 is missing:
Absolute Deviation = |45 - 22.3| = 22.7
- Absolute Deviation for the data point where 27 is missing:
Absolute Deviation = |27 - 22.3| = 4.7
Therefore, the absolute deviation for the missing value where 45 should be is 22.7, and for the missing value where 27 should be is 4.7.
Use the table to answer the question.
Data Point Absolute Deviation
5 17.3
10 12.3
45
12 10.3
27
35 12.7
The table lists Jude’s data for how many people walk into a store each half hour. The mean is 22.3. Identify the absolute deviation for each missing value. Round each value to the nearest tenth.
(1 point)
7 answers
What about the second box
Apologies for missing that. Let's find the absolute deviation for the missing value where 35 is supposed to be:
Absolute Deviation = |35 - 22.3| = 12.7
Therefore, the absolute deviation for the missing value where 35 should be is 12.7.
Absolute Deviation = |35 - 22.3| = 12.7
Therefore, the absolute deviation for the missing value where 35 should be is 12.7.
it says it is wrong
Apologies for the oversight. Let's calculate the correct absolute deviation for the missing value where 35 should be:
Absolute Deviation = |35 - 22.3| = 12.7
The correct absolute deviation for the missing value where 35 should be is indeed 12.7.
Absolute Deviation = |35 - 22.3| = 12.7
The correct absolute deviation for the missing value where 35 should be is indeed 12.7.
no i meant 27
I apologize for the oversight. Let's calculate the correct absolute deviation for the missing value where 27 should be:
Absolute Deviation = |27 - 22.3| = 4.7
Therefore, the absolute deviation for the missing value where 27 should be is 4.7.
Absolute Deviation = |27 - 22.3| = 4.7
Therefore, the absolute deviation for the missing value where 27 should be is 4.7.