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We have m = 5 preliminary samples of size n = 3 (some numbers have unfortunately been erased by accident by a clumsy co-op st
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Here we are given that m=5 and n= sample size= 3. Now we complete the following incomplete table:

i xi,1 xi,2 xi,3 Ci ri si
1 27.1 29.4 27.2 27.9 2.2 1.3
2 30.6 32.5 32.4 31.83 1.9 1.07
3 25.7 35.5 30 30.4 5.5 4.91
4 31.1 23.2 25 26.43 7.9 4.14
5 24.1 34.2 27.4 28.57 10.1 5.15
Total 145.13 32 16.57

Now we have to construct the control chart for X from \overline{R} :

xi,3:

\small \overline{x}_{i} =\frac{\sum x_{i}}{3}

27.9 * 3 = 27.1 + 29.4 + xi,3

83.7 = 56.5 + xi,3

xi,3 = 83.7 - 56.5

xi,3 = 27.2

r1 = max - min = 29.4 - 27.2 = 2.2

r3 = 35.5 - 30 = 5.5

s4 = 16.57 - s1 + s2 + s3 + s5

= 16.57 - 12.43

s4 = 4.14

x bars s.d chart formula:

CL = S = ΣS, k

= 16.57 / 5 = 3.314

\small UCL =B_{4} \overline{S}

B4 = 2.089 (constant)

UCL = 2.089 * 3.314 = 6.922946

\small LCL =B_{3} \overline{S}

B3 = 0

LCL =0

For \small \overline{X} chart

\small UCL=\overline{\overline{X}}+A_{3}\overline{S} (where A3 constant)

\small \overline{\overline{X}}=\frac{\sum \overline{X_{i}}}{5}

\small \overline{\overline{X}}=29.026

A3 = 1.427

UCL = 29.026 + 1.427 * 3.314

UCL = 33.755078

\small LCL=\overline{\overline{X}}-A_{3}\overline{S}

LCL = 29.026 - 1.427 * 3.314

LCL = 24.296922

Control chart for\small \overline{X} from \small \overline{S} is

(24.296922 , 33.755078)

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