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.

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.
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Solution

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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: \[ \sigma \approx 9.2 \]

Final Answer

\(\boxed{9.2}\)

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