Statistics · real student question

Find the standard deviation of 4, 8, 6, 5, 3.

Question

Find the standard deviation of the data set

4, 8, 6, 5, 34,\ 8,\ 6,\ 5,\ 3

Step-by-step solution

  1. Compute the mean first — every later step depends on it.

    xˉ=4+8+6+5+35=265=5.2\bar{x} = \frac{4 + 8 + 6 + 5 + 3}{5} = \frac{26}{5} = 5.2

    With five whole numbers the mean is not an integer, so keep it as 5.25.2 exactly rather than rounding to 55 — rounding here would distort every squared deviation.

  2. Square each deviation from the mean. Deviations can be negative, and squaring is what removes the sign so that they do not cancel:

    (45.2)2=1.44,(85.2)2=7.84,(65.2)2=0.64(4-5.2)^2 = 1.44, \quad (8-5.2)^2 = 7.84, \quad (6-5.2)^2 = 0.64

    (55.2)2=0.04,(35.2)2=4.84(5-5.2)^2 = 0.04, \quad (3-5.2)^2 = 4.84

  3. Add them to get the sum of squares.

    (xxˉ)2=1.44+7.84+0.64+0.04+4.84=14.8\sum (x - \bar{x})^2 = 1.44 + 7.84 + 0.64 + 0.04 + 4.84 = 14.8

    A quick sanity check: the raw deviations 1.2,2.8,0.8,0.2,2.2-1.2, 2.8, 0.8, -0.2, -2.2 add to 00, which they must if the mean is right.

  4. Decide on the divisor: n or n − 1. Treating the five numbers as the entire population divides by n=5n = 5; treating them as a sample drawn from something larger divides by n1=4n - 1 = 4 (Bessel’s correction, which compensates for the mean being estimated from the same data):

    σ2=14.85=2.96,s2=14.84=3.7\sigma^2 = \frac{14.8}{5} = 2.96, \qquad s^2 = \frac{14.8}{4} = 3.7

  5. Take square roots.

    σ=2.961.72,s=3.71.92\sigma = \sqrt{2.96} \approx 1.72, \qquad s = \sqrt{3.7} \approx 1.92

    With a short list like this the two answers differ noticeably, so state which convention you used. Unqualified textbook exercises on a complete list of five numbers usually want the population value 1.721.72.

Answer

σ=2.961.72(population),s=3.71.92(sample)\sigma = \sqrt{2.96} \approx 1.72 \quad \text{(population)}, \qquad s = \sqrt{3.7} \approx 1.92 \quad \text{(sample)}

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