Mean, and standard deviation question.

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The discussion focuses on calculating the mean, standard deviation, and coefficient of variation for uniaxial strain defined by the equation e = d/l, where d and l are normally distributed variables. The mean of strain e is calculated as 0.00075, while the standard deviation appears to be incorrectly computed as 81.956, which is significantly larger than the mean. The correct approach to find the coefficient of variation is to use the ratio of the standard deviation to the mean, resulting in a CV of 6.13%. The large standard deviation suggests that the data may not follow a normal distribution, warranting further verification. Accurate calculations are essential for reliable results in statistical analysis.
faust9
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Here's the question:

In the expression for uniaxial strain e = d/l, the elongation is specified as
d ~ N(0.0015, 0.000092) in. and the length l ~ N(2.0000, 0.0081) in.
What are the mean, standard deviation, and coefficient of variation of the corresponding strain e?

so, I said the mean (X) of delta is 0.0015 and the standard deviation (S) of delta is 0.000092

X_d=0.0015, S_d=0.000092
X_l=2.000, S_l=0.0081

I said Z=d/l\ thus\ X_z=X_d/X_l and the S_z^2=(C_d^2+C_l^2)/X_z^2


So, I did the following: X_e=X_d/X_l=0.0015/2.000=0.00075

and S_z=\sqrt{((0.000092/0.0015)^2+(0.0081/2.000)^2)/0.00075^2}=81.956

The last part doesn't seem right though. Any thoughts?

Thanks.
 
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faust9 said:
Here's the question:

In the expression for uniaxial strain e = d/l, the elongation is specified as
d ~ N(0.0015, 0.000092) in. and the length l ~ N(2.0000, 0.0081) in.
What are the mean, standard deviation, and coefficient of variation of the corresponding strain e?


X_d=0.0015, S_d=0.000092
X_l=2.000, S_l=0.0081

I said Z=d/l\ thus\ X_z=X_d/X_l and the S_z^2=(C_d^2+C_l^2)/X_z^2

If you denoted the relative errors by C

S_z^2=(C_d^2+C_l^2)*X_z^2 instead of what you used.
 


Your calculation for the mean and standard deviation of the strain e looks correct. However, the coefficient of variation (CV) is usually calculated as the ratio of the standard deviation to the mean, so in this case it would be 0.000092/0.0015 = 0.0613 or 6.13%. The value you calculated for the standard deviation of e (81.956) is quite large compared to the mean (0.00075), which indicates that the data may not be normally distributed. It might be worth checking the data and making sure it follows a normal distribution before using these calculations.
 
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