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*A standard sample containing 10.3% acetone yielded the following results: 10.2 9.9 10.3% acetone On analysis, another standa

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Answer #1

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= \sqrt{} (x- x1)2+(x- x2)2+(x- x3)2/3

Substituting the given,

S = \sqrt{} (10.13-10.20)2 + (10.13- 9.9)2 + (10.13 - 10.30)2 /3

S= \sqrt{} 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= \sqrt{} (x- x1)2+(x- x2)2+(x- x3)2/3

Substituting the given,

S = \sqrt{} (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.

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