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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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We have m = 5 preliminary samples of size n = 3 (some numbers have unfortunately been erased by accident by a clumsy co-op student):

Given,

i x_{i1} x_{i2} x_{i3} C r_i s_i
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

x_{13}

\bar{x}_1=\frac{\Sigma x_i}{3}

= 27.9 * 3 = 27.1 + 29.4 + x_{13}

= 83.7 = 56.5 + x_{13}

x_{13} = 83.7 - 56.5

x_{13}= 27.2

r_1=29.4-27.2=max-min=2.2

r_3=35.5-30=5.5

s_4=16.57-s_1+s_2+s_3+s_5

= 16.57 - 12.43

= 4.14

X standard deviation chart formula

CL=\bar{s}=\frac{\Sigma s_1}{k}

= 16.57/5

= 3.314

UCL = B_4\bar{s} where B_4 = constant = 2.089

= 2.089 * 3.314

= 6.922946

LCL=B_3\bar{s} where B_3=0

LCL = 0

For  X chart

UCL = \bar{\bar{X}}+A_3\bar{s} where A_3 is constant

\bar{\bar{x}}=\frac{\Sigma \bar{x_i}}{5}

= 145.13/5

= 29.026

and  A_3=1.427

UCL = 29.026 + 1.427 * 3.314

= 29.026 + 4.729078

= 33.755078

LCL =  \bar{\bar{x}}-A_3 \bar{s}

= 29.026 - 4.729078

= 24.296922

Control chart for X from  \bar{s} is (24.296922, 33.755078)

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