Help with this double sampling scheme problem

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In summary, when a second sample is to be taken, it also consists of 5 items. The probability that in a combined sample of 10 items there are at least 8 tightly packed is (b(4;5,0.8) + b(5;5,0.8)) \times b(4;5,0.8) + b(5;5,0.8) \times b(3;5,0.8).
  • #1
statrw
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Please help with a hint of doing his question, I have drawn the diagram but still confused.


Q)In a food production process, packaged items are sampled as they come off a
production line. A random sample of 5 items from each large production batch is
checked to see whether each item is tightly packed. A batch will be accepted
immediately if all of these 5 items are tightly packed, and rejected immediately if at
least 3 items among the 5 are not tightly packed. Otherwise a second sample is taken
before making a decision.
Suppose that 80% of the items produced by the machine are tightly packed

a)When a second sample is to be taken, it also consists of 5 items. What is the
probability that in a combined sample of 10 items there are at least 8 tightly
packed?

Thanks.
 
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  • #2
statrw said:
Please help with a hint of doing his question, I have drawn the diagram but still confused.


Q)In a food production process, packaged items are sampled as they come off a
production line. A random sample of 5 items from each large production batch is
checked to see whether each item is tightly packed. A batch will be accepted
immediately if all of these 5 items are tightly packed, and rejected immediately if at
least 3 items among the 5 are not tightly packed. Otherwise a second sample is taken
before making a decision.
Suppose that 80% of the items produced by the machine are tightly packed

a)When a second sample is to be taken, it also consists of 5 items. What is the
probability that in a combined sample of 10 items there are at least 8 tightly
packed?

Thanks.

When a second sample is taken there are 3 or 4 tightly packed items in the first sample, so for at least 8 to be tightly packed we need 4 or 5 to be tightly packed in the second sample if only one was not tightly packed in the first sample and 5 if two were not tightly packed, so the required probability is:

\(p = (b(4;5,0.8) + b(5;5,0.8)) \times b(4;5,0.8) + b(5;5,0.8) \times b(3;5,0.8)\)

where \(b(n;N,x)\) denotes the binomial probability on \(n\) successes in \(N\) trials with a success probability of \(x\) in each trial.

CB
 
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  • #3
CaptainBlack said:
When a second sample is taken there are 4 tightly packed items in the first sample, so for at least 8 to be tightly packed we need 4 or 5 to be tightly packed in the second sample, so the required probability is:

p = b(4;5,0.8) + b(5;5,0.8)

where b(n;N,x) denotes the binomial probability on n successes in N trials with a success probability of x in each trial.

CB

Thanks but not sure how you got the 4 or 5 tightly packed to add up to 8. Remember for second sample to be taken there must be 0 or 1 or 2 tightly packed.

I may have missed the point,but could you explain.
Thanks.
 
  • #4
statrw said:
Thanks but not sure how you got the 4 or 5 tightly packed to add up to 8. Remember for second sample to be taken there must be 0 or 1 or 2 tightly packed.

I may have missed the point,but could you explain.
Thanks.

Sorry, misread the condition for drawing a second sample, previous post has now been corrected.

CB
 
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  • #5
CaptainBlack said:
When a second sample is taken there are 3 or 4 tightly packed items in the first sample, so for at least 8 to be tightly packed we need 4 or 5 to be tightly packed in the second sample if only one was not tightly packed in the first sample and 5 if two were not tightly packed, so the required probability is:

\(p = (b(4;5,0.8) + b(5;5,0.8)) \times b(4;5,0.8) + b(5;5,0.8) \times b(3;5,0.8)\)

where \(b(n;N,x)\) denotes the binomial probability on \(n\) successes in \(N\) trials with a success probability of \(x\) in each trial.

CB

Not sure about your suggestion above, here is what I think, see below.
Any opinions?To get a total of 8 tightly packed from the first and second selection we need to add up binomial probabilities.

1) x =0 from n1 and x=8 from n2
2) x=1 from n1 and x=7 from n2
3) x=2 from n1 and x=6 from n2

For each case use binomial B(5, 0.8), where B(n,p).
 
  • #6
statrw said:
Not sure about your suggestion above, here is what I think, see below.
Any opinions?To get a total of 8 tightly packed from the first and second selection we need to add up binomial probabilities.

1) x =0 from n1 and x=8 from n2
2) x=1 from n1 and x=7 from n2
3) x=2 from n1 and x=6 from n2

For each case use binomial B(5, 0.8), where B(n,p).

The second sample is of size 5.

CB
 

FAQ: Help with this double sampling scheme problem

1. What is a double sampling scheme?

A double sampling scheme is a statistical method used to estimate the population mean or total based on a smaller sample size. It involves taking two samples from the population, with the first sample being larger and the second sample being smaller.

2. When should a double sampling scheme be used?

Double sampling schemes are typically used when the population is large and it is not feasible to take a large sample size. It is also used when there is a large variation in the population, making it difficult to get an accurate estimate with just one sample.

3. How is a double sampling scheme different from a simple random sampling?

A simple random sampling involves randomly selecting a sample from the entire population, while a double sampling scheme involves taking two samples from the population. The first sample is typically larger and used to estimate the population parameters, while the second sample is smaller and used to adjust for any potential bias in the first sample.

4. What are the advantages of using a double sampling scheme?

A double sampling scheme allows for a more accurate estimate of the population mean or total compared to a single sample. It can also save time and resources, as the second sample can be smaller and more targeted. Additionally, it can help reduce bias in the estimation process.

5. What are some potential challenges of implementing a double sampling scheme?

One potential challenge of using a double sampling scheme is choosing the appropriate sample size for both samples. If the first sample is too small, it may not accurately represent the population and the estimate may be biased. Another challenge is ensuring that the second sample is truly random and representative of the population, as any bias in this sample can also affect the overall estimate.

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