Mean, and standard deviation question.

In summary, the question asks for the mean, standard deviation, and coefficient of variation of the strain e, which is given by the expression e = d/l. The values of d and l are normally distributed with means 0.0015 and 2.000, and standard deviations 0.000092 and 0.0081, respectively. To find the mean and standard deviation of e, we use the formula X_e=X_d/X_l and S_z^2=(C_d^2+C_l^2)*X_z^2. However, the correct formula for the standard deviation is S_z^2=(C_d^2+C_l^2)*X_z^2.
  • #1
faust9
692
2
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.
 
Physics news on Phys.org
  • #2
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.
 
  • #3


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.
 

1. What is the meaning of mean and standard deviation?

The mean is a measure of the central tendency of a set of data, representing the average value. Standard deviation is a measure of the spread or variability of the data around the mean.

2. How are mean and standard deviation calculated?

To calculate the mean, add all the values in a data set and divide by the total number of values. Standard deviation is calculated by finding the difference between each data point and the mean, squaring these differences, adding them up, dividing by the total number of values, and taking the square root of the result.

3. Why are mean and standard deviation important?

Mean and standard deviation provide useful information about a set of data, such as its typical value and how spread out the data is. They are often used to summarize and compare data sets, and are essential in statistical analysis and hypothesis testing.

4. How can mean and standard deviation be affected by outliers?

Outliers, or extreme values in a data set, can greatly impact the value of mean and standard deviation. If there are outliers, the mean may not accurately represent the central tendency of the data, and the standard deviation may be inflated due to the large differences between the outlier and other data points.

5. Are there any alternatives to using mean and standard deviation?

Yes, there are other measures of central tendency and variability that can be used instead of mean and standard deviation. These include the median, which represents the middle value in a data set, and the interquartile range, which measures the spread of the middle 50% of the data. The choice of which measure to use depends on the type of data and the research question being asked.

Similar threads

  • Introductory Physics Homework Help
Replies
2
Views
1K
  • Introductory Physics Homework Help
Replies
9
Views
2K
  • Calculus and Beyond Homework Help
Replies
12
Views
2K
  • General Math
Replies
2
Views
5K
  • Precalculus Mathematics Homework Help
Replies
4
Views
2K
  • Classical Physics
Replies
0
Views
142
  • Introductory Physics Homework Help
Replies
2
Views
5K
  • Advanced Physics Homework Help
Replies
2
Views
2K
Replies
3
Views
4K
Back
Top