14 , 14.7 , 15 , 15.6 , 16.3 , 16.8 14, 14.7, 15, 15.6, 16.3, 16.8 14 , 14.7 , 15 , 15.6 , 16.3 , 16.8
(i)
Arithmetic mean x ˉ = ∑ i = 1 6 x i 6 = 92.4 6 = 15.4 \bar{x}=\dfrac{\displaystyle\sum_{i=1}^{6}x_i}{6}=\dfrac{92.4}{6}=15.4 x ˉ = 6 i = 1 ∑ 6 x i = 6 92.4 = 15.4
Median = 15 + 15.6 2 = 15.3 \dfrac{15+15.6}{2}=15.3 2 15 + 15.6 = 15.3
Mode: All values appeared just once.
The sample mean x ˉ = 15.4 , \bar{x}=15.4, x ˉ = 15.4 , is an unbiased estimator of the population mean.
(i) Variance
The variance of a sample is:
s 2 = 1 6 − 1 ∑ i = 1 6 ( x i − x ˉ ) 2 = 5.42 5 = 1.084 s^2=\dfrac{1}{6-1}\displaystyle\sum_{i=1}^{6}(x_i-\bar{x})^2=\dfrac{5.42}{5}=1.084 s 2 = 6 − 1 1 i = 1 ∑ 6 ( x i − x ˉ ) 2 = 5 5.42 = 1.084
Standard Deviation
s = s 2 = 1.084 ≈ 1.041153 s=\sqrt{s^2}=\sqrt{1.084}\approx1.041153 s = s 2 = 1.084 ≈ 1.041153
σ 2 = 1 6 ∑ i = 1 6 ( x i − μ ) 2 = 5.42 6 = 2.71 3 \sigma^2=\dfrac{1}{6}\displaystyle\sum_{i=1}^{6}(x_i-\mu)^2=\dfrac{5.42}{6}=\dfrac{2.71}{3} σ 2 = 6 1 i = 1 ∑ 6 ( x i − μ ) 2 = 6 5.42 = 3 2.71
σ = σ 2 = 2.71 3 ≈ 0.950438 < s \sigma=\sqrt{\sigma^2}=\sqrt{\dfrac{2.71}{3}}\approx0.950438<s σ = σ 2 = 3 2.71 ≈ 0.950438 < s
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