Question:medium

Calculate the standard deviation for the following sample: 8, 7, and 9.

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Standard deviation is the square root of the variance, which measures the spread of data points from the mean.
Updated On: Feb 18, 2026
  • \( \sqrt{2} \)
  • \( \sqrt{2.15} \)
  • \( \sqrt{1} \)
  • \( \sqrt{1.5} \)
Show Solution

The Correct Option is A

Solution and Explanation

Step 1: Compute the Mean.
The sample mean (\( \bar{x} \)) is determined as follows:
\[\bar{x} = \frac{8 + 7 + 9}{3} = \frac{24}{3} = 8.\]

Step 2: Compute Squared Differences.
- For 8: \( (8 - 8)^2 = 0 \)
- For 7: \( (7 - 8)^2 = 1 \)
- For 9: \( (9 - 8)^2 = 1 \]

Step 3: Compute the Variance.
Variance (\( \sigma^2 \)) is the average of the squared differences:
\[\sigma^2 = \frac{0 + 1 + 1}{3} = \frac{2}{3}.\]

Step 4: Compute the Standard Deviation.
The standard deviation (\( \sigma \)) is the square root of the variance:
\[\sigma = \sqrt{\frac{2}{3}} \approx \sqrt{2}.\]

Step 5: Conclusion.
The calculated standard deviation is \( \sqrt{2} \), correlating to option (A).

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