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The following measurements ofx and yhave been made.

x:5.1,4.9,5.0,5.2,4.9,5.0,4.8,5.1y:1.03,1.05,0.96,1.00,1.02,0.95,0.99,1.01,1.00,0.99

Find the mean value and the probable error ofx, â¶Ä‰y, â¶Ä‰x+y, â¶Ä‰xy, â¶Ä‰x3sinyand.ln(x)

Short Answer

Expert verified

Required answersare,

x¯=5,rx=0.031y¯=1,ry=0.0064

w¯=6,rw=0.0317xy¯=5,rxy=0.044

xsin(y)¯=105,r=2lnx¯=1.609,r=0.006

Step by step solution

01

Given Information

Measurements are mentioned below:

x:5.1,4.9,5.0,5.2,4.9,5.0,4.8,5.1y:1.03,1.05,0.96,1.00,1.02,0.95,0.99,1.01,1.00,0.99

02

Definition of Probable error. 

The amount by which a sample's arithmetic mean is predicted to vary solely due to chance.

03

Calculate mean and probable error value of  . 

Calculate expected value.

x¯=∑i=1nxin=2×5.1+2×4.9+2×5.0+5.2+4.88=5

Calculate variance.

Var(x)=1nx−1∑i=1n(xi−x¯)2=17[4×(0.1)2+2×(0.2)2]=3175

Calculate standard deviation.

σx=Var(x)=3175=0.13

Calculate error of values.

σmx=Var(x)n=3175×8 â¶Ä‰=0.046

Calculate probable error.

rx=0.6745(0.046)=0.031

04

Calculate mean and probable error value of .y

Calculate expected value.

y¯=∑i=1nyin=2×1.00+2×0.99+1.03+1.05+1.02+0.95+1.01+0.9610=1

Calculate variance.

σy2=1ny−1∑i=1n(yi−y¯)2=19[(0.03)2+2(0.05)2+3(0.01)2+(0.02)2+(0.04)2]=4145000

Calculate standard deviation.

σy=Var(y)=4145000=0.03

Calculate error of values.

σmy=Var(y)ny=4145000×10=0.0095

Calculate probable error.

ry=0.6745(0.0095)=0.0064

05

Calculate mean and probable error value of.x+y

Calculate expected value.

w¯=x+y¯=x¯+y¯=5+1=6

Calculate error of values.

σmw=σmy2+σmw2=(0.0095)2+(0.046)2=0.047

Calculate probable error.

rw=0.6745(0.047)=0.0317

06

Calculate mean and probable error valueof  xy.

Calculate expected value.

w=xyE(w)=μxμy=5×1=5

Calculate error of values.

σmw=[(∂w∂x)2σmx2+(∂w∂y)2σmy2](x,y)=(x,y)σmw=(1)2(0.046)2+(5)2(0.0095)2=0.066

Calculate probable error.

rw=(0.6745)(0.066)=0.044

07

Calculate mean and probable error value of.x3sin(y) 

Calculate expected value.

f(x,y)=x3sin(y)E(f)=μx3sin(μy)=53sin(1)=105

Calculate error of values.

σmf=[3x2sin(y)]2σme2+[x3cos(y)]2σmy2=[3×25sin(1)]2[0.046]2+[125×cos(1)]2(0.0995)2=3

Calculate probable error.

rf=(3)(0.6745)=2

08

Calculate mean and probable error value of.ln(x)

Calculate expected value.

E(z)=ln(μs)=ln(5)=1.609

Calculate error of values.

σms=125×(0.046)2=232500

Calculate probable error.

rz=0.6745(232500)=0.006

Hence, required expressions are,

x¯=5,rx=0.031y¯=1,ry=0.0064

w¯=6,rw=0.0317xy¯=5,rxy=0.044

xsin(y)¯=105,r=2lnx¯=1.609,r=0.006

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