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I think that the answer is 3. I hope this helps!! :)
fichoh

The standard deviation is a measure of spread which depicts how much a distribution deviates from the mean or average value of the distribution. The standard deviation of the sample is 4.28

The sample :

  • 4, 7, 9, 12, 15

Mean, μ = ΣX/ n ; n = sample size

Mean = (4 + 7 + 9 + 12 + 15) / 5

Mean = 47/5

Mean = 9.4

The standard deviation = √[Σ(X - μ)² / (n - 1)]

Standard deviation = √[(4-9.4)² + (7-9.4)² + (9-9.4)² + (12-9.4)² + (15-9.4)²] / (5 - 1)

Standard deviation = √(73.2 / 4) = √18.3

The standard deviation = 4.28

Therefore, the standard deviation of the sample is 4.28

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