Given data set for 10.3% acetone yield:
x1 = 10.2, x2= 9.9, x3= 10.3
We know the formula to mean as: x= (x1+x2+x3)/3
Substituting theses values,
Mean(x) = (10.2 + 9.9 +10.3)/3
So, Mean= 10.13
Now, calculating the standard deviation:
S= (x- x1)2+(x- x2)2+(x- x3)2/3
Substituting the given,
S = (10.13-10.20)2 + (10.13- 9.9)2 + (10.13 - 10.30)2 /3
S= 0.09/3 = 0.17
Now, Relative deviation is calculated as: (100*S)/x
Substituting the given vaues, Relative deviation = (100*0.17)/10.13
Relative deviation= 1.7%
Now, Absolute deviation= (|10.13-10.20| + |10.13- 9.9| + |10.13 - 10.30|)/3
= 0.5/3 = 0.2%
Data set for 0.40% acetone yield:
x1 = 0.38, x2= 0.34, x3= 0.35
We know the formula to mean as: x= (x1+x2+x3)/3
Substituting theses values,
Mean(x) = (0.38+0.34+0.35)/3
So, Mean= 0.36
Now, calculating the standard deviation:
S= (x- x1)2+(x- x2)2+(x- x3)2/3
Substituting the given,
S = (0.36-0.38)2 + (0.36- 0.34)2 + (0.36 -0.35)2 /3
S= 0.02
Now, Relative deviation is calculated as: (100*S)/x
Substituting the given vaues, Relative deviation = (100*0.02)/0.36
Relative deviation= 5.55%
Now, Absolute deviation= (|0.36-0.38| + |0.36- 0.34| + |0.36 -0.35|)/3
= 0.02%
(a) Now, we can say that while talking about relative deviation, 10.3% acetone is more precise.
In case of absolute deviation, 0.40% acetone is more precise.
*A standard sample containing 10.3% acetone yielded the following results: 10.2 9.9 10.3% acetone On analysis,...
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