Calculating Defect Rate Probability with BINOMDIST

  • Thread starter kristymassi
  • Start date
In summary, the probability that a sample of 1000 vaccine vials from a filling line contains no more than two (2) defective closures is 0.9526.
  • #1
kristymassi
5
0
it seems me true but prof. said its not..

You are asked to calculate the probability that a sample of 1000 vaccine vials from a filling line contains no more than two (2) defective closures. From prior data, you know that the particular filling line in question has a defect rate of 0.08%. Given this information, you use the Microsoft Excel BINOMDIST function with number_s =2, trials = 1000, and probability_s = 0.0008. In order to yield the desired probability, you should set the value of cumulative = TRUE and subtract the result of the function from 1.000.

is that true?

what is your idea?
 
Physics news on Phys.org
  • #2
kristymassi said:
it seems me true but prof. said its not..

You are asked to calculate the probability that a sample of 1000 vaccine vials from a filling line contains no more than two (2) defective closures. From prior data, you know that the particular filling line in question has a defect rate of 0.08%. Given this information, you use the Microsoft Excel BINOMDIST function with number_s =2, trials = 1000, and probability_s = 0.0008. In order to yield the desired probability, you should set the value of cumulative = TRUE and subtract the result of the function from 1.000.

is that true?

what is your idea?

You gave an observed rate of 8 defects per 1000 but no variance. If you can assume a Poisson process then the mean and variance is 8 and the SD=sqrt (8). From this you can estimate the probability of 2 defects per thousand.

EDIT: I'm confused about your denominator. Is it 1000 or 10000? In either case the above works as long as your denominator doesn't change. You can also use a chi- square estimate where E=8, O=2 and Chi sq=(E-O)^2/E. You can get the probability from Chi Square tables.
 
Last edited:
  • #3
SW VandeCarr, thank you very much

When we set the value of cumulative to TRUE, we already getthe probability of 2 or less
than 2 (that is no more than 2) defectives. So we need not subtract the answer from 1.
(The probability answer is 0.9526.)
 

Related to Calculating Defect Rate Probability with BINOMDIST

1. What is BINOMDIST?

BINOMDIST is a mathematical function used to calculate the probability of a certain number of successes in a fixed number of trials, given a specific probability of success.

2. How is BINOMDIST used in calculating defect rate probability?

In the context of defect rate probability, BINOMDIST is used to determine the likelihood of a certain number of defective items in a sample, given the total number of items produced and the probability of each item being defective.

3. What information is needed to use BINOMDIST for calculating defect rate probability?

To use BINOMDIST for calculating defect rate probability, you will need the total number of items produced, the number of defective items in the sample, and the probability of each item being defective.

4. Can BINOMDIST be used for both small and large sample sizes?

Yes, BINOMDIST can be used for both small and large sample sizes. However, it is more accurate for larger sample sizes.

5. Are there any limitations or assumptions when using BINOMDIST for calculating defect rate probability?

Yes, there are some limitations and assumptions when using BINOMDIST for calculating defect rate probability. It assumes that each item has an equal probability of being defective, and that the trials are independent of each other. Additionally, it may not be accurate for very small sample sizes or if the probability of success is very low or high.

Similar threads

  • Calculus and Beyond Homework Help
Replies
6
Views
4K
  • Set Theory, Logic, Probability, Statistics
Replies
4
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
10
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
8
Views
4K
  • Advanced Physics Homework Help
Replies
3
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
12
Views
2K
  • Precalculus Mathematics Homework Help
Replies
10
Views
2K
  • Advanced Physics Homework Help
Replies
6
Views
1K
  • Beyond the Standard Models
Replies
19
Views
5K
  • Set Theory, Logic, Probability, Statistics
Replies
2
Views
7K
Back
Top