Mean, and standard deviation question.

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SUMMARY

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 ~ N(0.0015, 0.000092) and l ~ N(2.0000, 0.0081). The mean strain is calculated as X_e = 0.00075, while the standard deviation was initially miscalculated as S_z = 81.956. The correct coefficient of variation is determined to be 6.13%. The calculations highlight the importance of verifying the normality of the data before applying these statistical methods.

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  • Knowledge of statistical concepts such as mean, standard deviation, and coefficient of variation.
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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

[tex]X_d=0.0015, S_d=0.000092[/tex]
[tex]X_l=2.000, S_l=0.0081[/tex]

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


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

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

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?


[tex]X_d=0.0015, S_d=0.000092[/tex]
[tex]X_l=2.000, S_l=0.0081[/tex]

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

If you denoted the relative errors by C

[tex]S_z^2=(C_d^2+C_l^2)*X_z^2[/tex] 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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