What is the probability of passing a shipment using a binomial distribution?

In summary, the problem asks for the probability of a large shipment being accepted based on a sample of 5 items, given a known defective rate of 10%. Using the binomial distribution formula, the probability was calculated to be approximately .91854. Additionally, the expected number of defectives in a sample of 5 was calculated to be .5.
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toothpaste666
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Homework Statement



A company is interested in evaluating its current inspection procedure on large shipments of identical items. The procedure is to take a sample of 5 items and pass the shipment if no more than 1 item is found to be defective. It is known that items are defective at a 10% rate overall.

(a) What proportion of shipments will be accepted, i.e., what is the probability that the inspection procedure will pass the shipment?

(b) What is the expected number of defectives in a sample of 5?

Homework Equations


b(x;n,p) = (nCx) p^x(1-p)^(n-x)
μ = np

The Attempt at a Solution


This is practice for a test and we won't have access to the tables so I need to do this with the formula
for part a) we are looking for the probability that 0 or 1 item is defective
this will be
b(0;5,.1)+b(1;5,.1)
= (5C0)(.1)^0 (.9)^5 + (5C1)(.1)^1(.9)^4
= .9^5 + 5(.1)(.9)^4
= .59049 + .32805
= .91854

b) μ = np = 5(.1) = .5

Am I doing this problem correctly?
 
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  • #2
toothpaste666 said:

Homework Statement



A company is interested in evaluating its current inspection procedure on large shipments of identical items. The procedure is to take a sample of 5 items and pass the shipment if no more than 1 item is found to be defective. It is known that items are defective at a 10% rate overall.

(a) What proportion of shipments will be accepted, i.e., what is the probability that the inspection procedure will pass the shipment?

(b) What is the expected number of defectives in a sample of 5?

Homework Equations


b(x;n,p) = (nCx) p^x(1-p)^(n-x)
μ = np

The Attempt at a Solution


This is practice for a test and we won't have access to the tables so I need to do this with the formula
for part a) we are looking for the probability that 0 or 1 item is defective
this will be
b(0;5,.1)+b(1;5,.1)
= (5C0)(.1)^0 (.9)^5 + (5C1)(.1)^1(.9)^4
= .9^5 + 5(.1)(.9)^4
= .59049 + .32805
= .91854

b) μ = np = 5(.1) = .5

Am I doing this problem correctly?
Yes.
 
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1. What is a binomial distribution problem?

A binomial distribution problem is a type of probability problem that involves calculating the likelihood of a certain number of successes in a fixed number of trials. It is based on the binomial theorem and assumes that each trial has only two possible outcomes, success or failure.

2. What are the key components of a binomial distribution problem?

The key components of a binomial distribution problem include the number of trials (n), the probability of success (p), and the desired number of successes (x). These values are used to calculate the probability of getting x successes in n trials using the binomial distribution formula.

3. How is a binomial distribution problem different from other types of probability problems?

A binomial distribution problem is different from other types of probability problems because it involves a fixed number of trials with only two possible outcomes. Other types of probability problems may involve continuous variables or multiple outcomes.

4. What is the binomial distribution formula?

The binomial distribution formula is P(x) = (nCx)(p^x)(1-p)^(n-x), where P(x) is the probability of getting x successes in n trials, nCx is the combination formula for choosing x objects from a set of n objects, p is the probability of success, and 1-p is the probability of failure.

5. How can binomial distribution be applied in real-world scenarios?

Binomial distribution can be applied in real-world scenarios to calculate the probability of getting a certain number of successes in a fixed number of trials. This can be useful in predicting outcomes in fields such as finance, biology, and marketing, where there are a limited number of possible outcomes and a known probability of success.

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