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Question
practice 2 calculate the mad from the data set below: 58, 88, 40, 60, 72, 66, 80, 48
Step1: Find the mean of the data set
First, we sum up all the data points: \(58 + 88 + 40 + 60 + 72 + 66 + 80 + 48\)
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There are 8 data points, so the mean \(\bar{x}=\frac{512}{8}=64\)
Step2: Find the absolute deviations from the mean
For each data point \(x_i\), calculate \(|x_i - \bar{x}|\):
- \(|58 - 64| = 6\)
- \(|88 - 64| = 24\)
- \(|40 - 64| = 24\)
- \(|60 - 64| = 4\)
- \(|72 - 64| = 8\)
- \(|66 - 64| = 2\)
- \(|80 - 64| = 16\)
- \(|48 - 64| = 16\)
Step3: Find the mean of these absolute deviations
Sum up the absolute deviations: \(6 + 24 + 24 + 4 + 8 + 2 + 16 + 16\)
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Now[SSE Completed, Client Connection Error][SSE Completed, Client Connection Error][LLM SSE On Failure]
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Step1: Find the mean of the data set
First, we sum up all the data points: \(58 + 88 + 40 + 60 + 72 + 66 + 80 + 48\)
\[
\]
There are 8 data points, so the mean \(\bar{x}=\frac{512}{8}=64\)
Step2: Find the absolute deviations from the mean
For each data point \(x_i\), calculate \(|x_i - \bar{x}|\):
- \(|58 - 64| = 6\)
- \(|88 - 64| = 24\)
- \(|40 - 64| = 24\)
- \(|60 - 64| = 4\)
- \(|72 - 64| = 8\)
- \(|66 - 64| = 2\)
- \(|80 - 64| = 16\)
- \(|48 - 64| = 16\)
Step3: Find the mean of these absolute deviations
Sum up the absolute deviations: \(6 + 24 + 24 + 4 + 8 + 2 + 16 + 16\)
\[
\]
Now[SSE Completed, Client Connection Error][SSE Completed, Client Connection Error][LLM SSE On Failure]