Which Probability Calculation is Correct for Defective Bulbs in a Sample?

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I will look into it and get back to you if I find anything. But your explanation seems to be the most logical one.In summary, the probability of getting a sample of 5 non-defective bulbs from a box containing 100 bulbs with 10 defective is 0.5838. The two approaches to solving this problem, with and without replacement, yield similar but slightly different results. However, the approach without replacement is considered to be more accurate in this scenario. The probability of getting a non-defective bulb in a sample of 5 without replacement can also be calculated using the binomial distribution, but in this case, it would give a different result. Therefore, it is important to clarify the conditions when solving probability problems to ensure
  • #1
zorro
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Homework Statement



In a box containing 100 bulbs, 10 are defective. The probability that out of a
sample of 5 bulbs, none is defective is?

The Attempt at a Solution



I see two approaches to this problem.

1) Out of 90 non-defective bulbs, we can chose 5 in 90C5 ways.
There are a total no. of 100C5 ways.

So required probability =90C5/100C5=0.5838

2) Out of the sample of 5 bulbs,
Probability of a non-defective bulb = 90/100=9/10
In 5 bulbs, required probability = (9/10)5=0.59049

The two answers don't differ by much. Which one is correct and why?
 
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  • #2
Abdul Quadeer said:
2) Out of the sample of 5 bulbs,
Probability of a non-defective bulb = 90/100=9/10
In 5 bulbs, required probability = (9/10)5=0.59049

You can multiply the probabilities of independent events to calculate the probability of all of them occurring together. Is pulling a second non-defective light bulb independent of pulling a first one?

In other words, suppose you are picking the second lightbulb from the box. Does the probability depend on the condition of the first lightbulb?
 
  • #3
In the selected sample, you don't take away the bulbs after picking them. In other words, the bulbs are replaced in the sample. So they are independent events.
 
  • #4
So when they say "a sample of 5 bulbs", you can have the same bulb multiple times in the sample?
 
  • #5
Abdul Quadeer said:

Homework Statement



In a box containing 100 bulbs, 10 are defective. The probability that out of a
sample of 5 bulbs, none is defective is?

The Attempt at a Solution



I see two approaches to this problem.

1) Out of 90 non-defective bulbs, we can chose 5 in 90C5 ways.
There are a total no. of 100C5 ways.

So required probability =90C5/100C5=0.5838

2) Out of the sample of 5 bulbs,
Probability of a non-defective bulb = 90/100=9/10
In 5 bulbs, required probability = (9/10)5=0.59049

The two answers don't differ by much. Which one is correct and why?
This is selection without replacement. In (2) you are calculating the probability with replacement. That is, as if you take a bulb, test it, put it back in the box and choose again, with a (slight) chance of getting the same bulb again.

Instead you could argue that, at first, there are 90 non-defective bulbs out of 100 so the chance that the first bulb selected is non-defective is 90/100= .9. But then there are 89 non-defective bulbs left among 99 bulbs. The chance of selecting a non-defective bulb the second time is 89/99, not 90/100 again.

The probability of selecting 5 non-defective bulbs is (90/100)(89/99)(88/98)(87/97)(85/96)= 0.5838 as in (1).
 
  • #6
HallsofIvy said:
This is selection without replacement. In (2) you are calculating the probability with replacement. That is, as if you take a bulb, test it, put it back in the box and choose again, with a (slight) chance of getting the same bulb again.

Instead you could argue that, at first, there are 90 non-defective bulbs out of 100 so the chance that the first bulb selected is non-defective is 90/100= .9. But then there are 89 non-defective bulbs left among 99 bulbs. The chance of selecting a non-defective bulb the second time is 89/99, not 90/100 again.

The probability of selecting 5 non-defective bulbs is (90/100)(89/99)(88/98)(87/97)(85/96)= 0.5838 as in (1).

I understood your explanation.
But the thing is that, in my text the answer given is (0.9)^5. Not only this, I searched this question in google books and found that everywhere the answer is same as above.

ex:

18. The probability of getting a defective bulb from the box, is 1 / 10.

Hence using binomial distribution,

the required probability , is (0.9)^5.

Hence the option is C.

Source - http://creatorstouchglobal.com/gm/index.php?option=com_content&view=article&id=63&Itemid=121
 
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  • #7
It is really seems wrong on that website. If the question was "What is the probability of pulling a non-defective bulb 5 times if the bulbs are replaced after each drawing" then the answer would be (0.9)^5, but "a sample of 5 bulbs" strongly implies no replacement.
 
  • #8
hmmm...its possible that the answer is wrong.
 

Related to Which Probability Calculation is Correct for Defective Bulbs in a Sample?

1. What's the difference between qualitative and quantitative research?

Qualitative research involves collecting and analyzing non-numerical data, such as interviews or observations, to gain insights and understand complex phenomena. Quantitative research, on the other hand, involves collecting and analyzing numerical data to test hypotheses and make generalizations.

2. What's the difference between a hypothesis and a theory?

A hypothesis is a proposed explanation for a phenomenon that can be tested and either supported or refuted. A theory, on the other hand, is a well-established explanation that has been extensively tested and supported by a large body of evidence. It is more comprehensive and has a higher level of certainty than a hypothesis.

3. What's the difference between accuracy and precision?

Accuracy refers to how close a measurement is to the true or accepted value. Precision, on the other hand, refers to how close multiple measurements are to each other. A measurement can be precise but not accurate if it consistently yields the same value that is different from the true value. Similarly, a measurement can be accurate but not precise if it is close to the true value but has a high degree of variability.

4. What's the difference between a control group and an experimental group?

A control group is a group in an experiment that does not receive the treatment being tested. It serves as a baseline for comparison to the experimental group, which receives the treatment. This allows researchers to determine if any observed effects are due to the treatment or other factors.

5. What's the difference between a dependent and independent variable?

A dependent variable is the outcome or response that is being measured in an experiment. It is affected by the independent variable, which is the variable that is manipulated or controlled by the researcher. In other words, the independent variable is the cause and the dependent variable is the effect.

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