Given: 5 observations, mean = 5 ⇒ total sum = \(5\times5=25\). Three values are 1, 2, 6. Let the other two be \(a,b\).
From mean: \(a+b=25-(1+2+6)=16\).
Variance (about mean): \(12.4\) ⇒ \(\sum (x_i-5)^2 = 5\times12.4 = 62\).
Known part: \((1-5)^2+(2-5)^2+(6-5)^2=16+9+1=26\).
Hence \((a-5)^2+(b-5)^2 = 62-26 = 36\).
Let \(u=a-5,\ v=b-5\). Then \(u+v=(a+b)-10=6\) and \(u^2+v^2=36\).
\((u+v)^2 = u^2+v^2+2uv \Rightarrow 36 = 36 + 2uv \Rightarrow uv=0\).
So one of \(u,v\) is 0 ⇒ one of \(a,b\) is 5, the other is \(16-5=11\).
Mean deviation about mean:
\(\displaystyle \text{MD}=\frac{1}{5}\big(|1-5|+|2-5|+|6-5|+|5-5|+|11-5|\big)
\) \( =\frac{1}{5}(4+3+1+0+6)=\frac{14}{5}=2.8.\)
Answer: 2.8
For linear transformation \(w = px + k\):
Mean: \(\bar{w} = p\bar{x} + k \Rightarrow 55 = 48p + k\) ... (1)
Standard deviation: \(\sigma_w = |p|\sigma_x \Rightarrow 15 = |p| \times 12\)
\(|p| = 1.25 \Rightarrow p = \pm 1.25\)
If \(p = 1.25\), then \(55 = 48(1.25) + k = 60 + k \Rightarrow k = -5\)
If \(p = -1.25\), then \(55 = 48(-1.25) + k = -60 + k \Rightarrow k = 115\) (not in options)
Therefore \(p = 1.25, k = -5\)
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