Questions: Find the standard deviation, σ, of the data.
84,98,70,76,88,76
x̄=82
Variance (σ^2)=85.3
σ=[?]
Round to the nearest tenth.
Transcript text: Find the standard deviation, $\sigma$, of the data.
\[
\begin{array}{c}
84,98,70,76,88,76 \\
\bar{x}=82 \\
\text { Variance }\left(\sigma^{2}\right)=85.3 \\
\sigma=[?]
\end{array}
\]
Round to the nearest tenth.
Solution
Solution Steps
Step 1: Identify the given values
The problem provides the following values:
Data points: \( 84, 98, 70, 76, 88, 76 \)
Mean (\( \bar{x} \)): \( 82 \)
Variance (\( \sigma^2 \)): \( 85.3 \)
Step 2: Recall the relationship between variance and standard deviation
The standard deviation (\( \sigma \)) is the square root of the variance (\( \sigma^2 \)). Mathematically, this is expressed as:
\[
\sigma = \sqrt{\sigma^2}
\]
Step 3: Calculate the standard deviation
Substitute the given variance into the formula:
\[
\sigma = \sqrt{85.3}
\]
\[
\sigma \approx 9.236
\]
Step 4: Round the standard deviation to the nearest tenth
Rounding \( 9.236 \) to the nearest tenth gives:
\[
\sigma \approx 9.2
\]