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Please Use Matlab to do this problem:

The cross-sectional area measurements (

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Answer #1

ANSWER:-

BY USING  MATLAB

tutorialspoint GNU Octave 3.6.4 Execute 1 clear 2 clc 3 x [153.3 91.2 99.3 115 101.7 135.8 102.4]; 4 n-length(x); 5 s-std(x); 6 xbar-mean(x); 7 Z-1.96; 8 lowerLimit-xbar+Z*s/sqrt (n); 9 upperLimit-xbar-Z*s sqrt (n); 10 plot (x, zeros (1,n), 'ro') 11 hold on 12 plot (xbar, e, 'bx', 'markersize',15) 13 plot (lowerLimit,e, 'ks', 'markersize',12) 14 plot (upperLimit, e, 'ks', 'markersize',12) 15 axis(L70 180 -1 1])

OUTPUT SCREENSHOTS

Result Executing the program.... $octave -qf --no-window-system main.m 150 160 130 140 120 100 110 90

0.5 0.5 90 100 110 120 130 140 150 160

BF 90 100 110 120 130 140 150 160

0.5 XD -0.5 90 100 110 120 130 140 150 160

BF 90 100 110 120 130 140 150 160

0.5 0.5 90 100 110 120 130 140 150 160

BF 130 140 150 160 100 110 120 90

0.5トー 0.5 140 150 160 -1 110 120 130 100 90

COPY CODE

MATLAB CODE

clear
clc
x=[153.3 91.2 99.3 115 101.7 135.8 102.4];
n=length(x);
s=std(x);
xbar=mean(x);
Z=1.96;
lowerLimit=xbar+Z*s/sqrt(n);
upperLimit=xbar-Z*s/sqrt(n);
plot(x,zeros(1,n),'ro')
hold on
plot(xbar,0,'bx','markersize',15)
plot(lowerLimit,0,'ks','markersize',12)
plot(upperLimit,0,'ks','markersize',12)
axis([70 180 -1 1])

SAMPLE OUTPUT

0.8 0.6 0.4 0.2 -0.2 -0.4 0.6 -0.8 -1 70 80 90 100 110 120 130 140 150 160 170 180

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Answer 1

ANSWER:-

BY USING  MATLAB

tutorialspoint GNU Octave 3.6.4 Execute 1 clear 2 clc 3 x [153.3 91.2 99.3 115 101.7 135.8 102.4]; 4 n-length(x); 5 s-std(x); 6 xbar-mean(x); 7 Z-1.96; 8 lowerLimit-xbar+Z*s/sqrt (n); 9 upperLimit-xbar-Z*s sqrt (n); 10 plot (x, zeros (1,n), 'ro') 11 hold on 12 plot (xbar, e, 'bx', 'markersize',15) 13 plot (lowerLimit,e, 'ks', 'markersize',12) 14 plot (upperLimit, e, 'ks', 'markersize',12) 15 axis(L70 180 -1 1])

OUTPUT SCREENSHOTS

Result Executing the program.... $octave -qf --no-window-system main.m 150 160 130 140 120 100 110 90

0.5 0.5 90 100 110 120 130 140 150 160

BF 90 100 110 120 130 140 150 160

0.5 XD -0.5 90 100 110 120 130 140 150 160

BF 90 100 110 120 130 140 150 160

0.5 0.5 90 100 110 120 130 140 150 160

BF 130 140 150 160 100 110 120 90

0.5トー 0.5 140 150 160 -1 110 120 130 100 90

COPY CODE

MATLAB CODE

clear
clc
x=[153.3 91.2 99.3 115 101.7 135.8 102.4];
n=length(x);
s=std(x);
xbar=mean(x);
Z=1.96;
lowerLimit=xbar+Z*s/sqrt(n);
upperLimit=xbar-Z*s/sqrt(n);
plot(x,zeros(1,n),'ro')
hold on
plot(xbar,0,'bx','markersize',15)
plot(lowerLimit,0,'ks','markersize',12)
plot(upperLimit,0,'ks','markersize',12)
axis([70 180 -1 1])

SAMPLE OUTPUT

0.8 0.6 0.4 0.2 -0.2 -0.4 0.6 -0.8 -1 70 80 90 100 110 120 130 140 150 160 170 180