Calculating Rejected Carbon Rods: Standard Deviation Homework

In summary: Thus, the probability that a carbon rod has a diameter less than 1.495 cm is (1 - 0.67)^2 = 0.33, and the probability that a carbon rod has a diameter greater than 1.505 cm is (1 + 0.4)^2 = 0.67.
  • #1
matt222
132
0

Homework Statement



Carbon rods with a nominal diamter of 1.5cm, it is only acceptable within the limits of 1.495 to 1.505cm. the actual diamter normaly distributed with a mean of 1.501cm with standard deviation of 0.003cm. what will be the percentage of the rods which are rejected if
1- undersize
2-oversize

Homework Equations





The Attempt at a Solution


from the mean 1.501cm, we have + standard deviation 0.003cm so that going to be 1.504cm
again the mean 1.501cm, we have -standard deviation 0.003cm so that going to be 1.498cm
both are within the limit of acceptable diameter, so that the answer to 1 is 1/1.501-1.495/100=1.67%, and for 2 going to be 0.4%, is it right
 
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  • #2
matt222 said:

Homework Statement



Carbon rods with a nominal diamter of 1.5cm, it is only acceptable within the limits of 1.495 to 1.505cm. the actual diamter normaly distributed with a mean of 1.501cm with standard deviation of 0.003cm. what will be the percentage of the rods which are rejected if
1- undersize
2-oversize

Homework Equations





The Attempt at a Solution


from the mean 1.501cm, we have + standard deviation 0.003cm so that going to be 1.504cm
again the mean 1.501cm, we have -standard deviation 0.003cm so that going to be 1.498cm
both are within the limit of acceptable diameter, so that the answer to 1 is 1/1.501-1.495/100=1.67%, and for 2 going to be 0.4%, is it right
First off, the value you calculated is wrong. 1/1.501-1.495/100 is about 0.651, nowhere close to the 1.67% that you show.

What you need to do is convert your diameter statistic to a standard normal distribution, and find the interval endpoints that correspond to 1.495 cm and 1.505 cm. Use the normal distribution to find the probability that the diameter is < 1.495 or diameter > 1.505.

Your textbook should have a few examples of how this is done.
 
  • #3
unfortunatly my textbook has no example, how to convert diameter statistic to a standard normal distribution, since i am new for this subject can yoiu refer me to a website, thank you
 
  • #4
The z statistic is related to your statistic (let's call it x) in this way:
[tex] z = \frac{x - \mu}{\sigma}[/tex]
where [itex]\mu[/itex] is the population mean diameter (1.501 cm) and [itex]\sigma[/itex] is the population standard deviation (.003 cm).

The equation above is equivalent to x = z[itex]\sigma[/itex] + [itex]\mu[/itex]

The first part of your problem is asking you to find P(x < 1.495) and the second part asks you to find P(x > 1.505).

Using the second equation I gave, convert the inequalities in the two probabilities to ones that involve z, and use a table of probabilities for the standard normal distribution to find these probabilities.
 

Related to Calculating Rejected Carbon Rods: Standard Deviation Homework

1. What is the purpose of calculating rejected carbon rods?

The purpose of calculating rejected carbon rods is to determine the quality of the production process and to identify any factors that may be causing deviations from the expected results. This helps in improving the overall efficiency and accuracy of the process.

2. How is the standard deviation calculated for rejected carbon rods?

The standard deviation for rejected carbon rods is calculated by taking the square root of the variance, which is the average of the squared differences between each data point and the mean. This provides a measure of how much the data varies from the average value.

3. What is considered a high standard deviation for rejected carbon rods?

A high standard deviation for rejected carbon rods would be any value that is significantly larger than the mean or average value. This indicates a large amount of variation and potentially inconsistent results, which could be a cause for concern in the production process.

4. How can the standard deviation be used to monitor the quality of rejected carbon rods?

The standard deviation can be used to monitor the quality of rejected carbon rods by comparing it to a predetermined threshold. If the standard deviation exceeds this threshold, it could indicate a problem with the production process that needs to be addressed. Regularly monitoring the standard deviation can help in identifying any issues and taking corrective measures in a timely manner.

5. How can the standard deviation be reduced for rejected carbon rods?

The standard deviation for rejected carbon rods can be reduced by identifying and addressing the root cause of the variation. This can involve implementing quality control measures, improving the production process, or identifying and removing any outliers in the data. By reducing the standard deviation, the overall quality of the rejected carbon rods can be improved.

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