Probability of Selecting a Black Disc

In summary: But that does not give you the probability of getting exactly one black disk. To get that probability, you need to multiply by the probability of getting a black disk in any one drawing. So the answer to part a) i) would be 8/40 = 1/5.For part ii), you are correct that the probability of getting at least one black disk is 8/8 = 1. So the expected number of black disks would be 1 times the number of trials, which is 400. Therefore, the expected number of black disks is 400. In summary, the probability of selecting a black disk from a box containing 35 red discs and 5 black discs is 1/5. If the
  • #1
karush
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A box contains 35 red discs and 5 black discs
a disc is selected at random and its color noted.
The disc is then replaced in the box.

a) In 8 such selections what is the probability that a black disk is selected.
i) exactly once ii) at least once

b) The process of selecting and replacing is carried out 400 times
what is the expected number of black discs that would be drawn.

well there are 40 discs so the probability of selecting a black disk it 1 to 8 so i would presume "at least once" is 8 times. but not sure about the "exactly once"

about 400 times, not sure how this is done I just 400/8 to get 50

I don't know the answers to these so just see what would be suggested here.
 
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  • #2
Re: disc selection

For part a), I would look at the binomial probability formula:

\(\displaystyle P(x)={n \choose x}p^x(1-n)^{n-x}\)

The binomial coefficient \(\displaystyle {n \choose x}\) takes into account the number of ways to get $x$ successes for $n$ trials.

Here $p$ is the probability of drawing a black disc on one trial, $n$ is the number of trials, and $x$ is the number of successes.

For part ii), I would use the fact that it is certain we will either draw zero black discs OR we will draw at least one black disc. This will make your computation much simpler.

Can you show what you can do with these suggestions?
 
  • #3
karush said:
A box contains 35 red discs and 5 black discs
a disc is selected at random and its color noted.
The disc is then replaced in the box.

a) In 8 such selections what is the probability that a black disk is selected.
i) exactly once ii) at least once

b) The process of selecting and replacing is carried out 400 times
what is the expected number of black discs that would be drawn.

well there are 40 discs so the probability of selecting a black disk it 1 to 8 so i would presume "at least once" is 8 times.
I'm afraid you are completely misunderstanding the question. A probability is a number between 0 and 1 so "8 times" is impossible.

but not sure about the "exactly once"

about 400 times, not sure how this is done I just 400/8 to get 50
As the answer to what question?

I don't know the answers to these so just see what would be suggested here.
 
  • #4
Re: disc selection

MarkFL said:
For part a), I would look at the binomial probability formula:

\(\displaystyle P(x)={n \choose x}p^x(1-n)^{n-x}\)

The binomial coefficient \(\displaystyle {n \choose x}\) takes into account the number of ways to get $x$ successes for $n$ trials.

Here $p$ is the probability of drawing a black disc on one trial, $n$ is the number of trials, and $x$ is the number of successes.

For part ii), I would use the fact that it is certain we will either draw zero black discs OR we will draw at least one black disc. This will make your computation much simpler.

Can you show what you can do with these suggestions?
sorry so long to get back to this, but we went on to another topic next day, but still want to deal with this

from \(\displaystyle {n \choose x} \) just to get the coefficient i presume \(\displaystyle n = 8\) and \(\displaystyle x = 1\) since the ratio is 5:40 or 1:8 so the coefficient would be 8
 
  • #5
Re: disc selection

karush said:
sorry so long to get back to this, but we went on to another topic next day, but still want to deal with this

from \(\displaystyle {n \choose x} \) just to get the coefficient i presume \(\displaystyle n = 8\) and \(\displaystyle x = 1\) since the ratio is 5:40 or 1:8 so the coefficient would be 8

Yes, there are 8 ways to get exactly in black disk, one for each drawing of a disk from the box.
 

FAQ: Probability of Selecting a Black Disc

What does "Probability of Selecting a Black Disc" mean?

The probability of selecting a black disc refers to the likelihood or chance of selecting a black disc from a set of discs. This is usually expressed as a number between 0 and 1, where 0 represents no chance of selecting a black disc and 1 represents a certain chance of selecting a black disc.

How is the probability of selecting a black disc calculated?

The probability of selecting a black disc is calculated by dividing the number of black discs in the set by the total number of discs in the set. For example, if there are 4 black discs and 10 total discs, the probability would be 4/10 or 0.4.

What factors affect the probability of selecting a black disc?

The factors that affect the probability of selecting a black disc include the total number of discs in the set, the number of black discs in the set, and whether the selection process is done with or without replacement (meaning whether a disc that has been selected is put back into the set or not).

How does the probability of selecting a black disc change with different factors?

If the total number of discs in the set remains the same, the probability of selecting a black disc will increase as the number of black discs in the set increases. However, if the total number of discs in the set increases while the number of black discs remains the same, the probability of selecting a black disc will decrease. Additionally, if the selection process is done with replacement, the probability will remain the same for each selection, while if it is done without replacement, the probability will change with each selection.

How is the concept of probability of selecting a black disc used in real-world applications?

The concept of probability of selecting a black disc is used in a variety of real-world applications, such as in manufacturing processes where a certain percentage of products must meet certain specifications, or in genetics where the probability of inheriting certain traits can be determined. It is also used in gambling and sports to predict the likelihood of certain outcomes or events occurring.

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