A box contains 5 red marbles, 3 blue marbles and 2 yellow marbles. A marble is chosen at random and replaced. This selection process is completed eight times. Find the probability that exactly 4 reds are selected
Could someone please explain it to me? @satellite73
what is the probability you get an red marble on any one try?
Every time the marble is chosen, the probability is the same because marbles are replaced. Therefore use of the binomial distribution is indicated. Have you done binomial distributions?
1/10
oh hell no
sorry 5/10 = 1/2
would n= 5 and k=4?
and p=1/2
ok better so half the time you get it and half the time you don't get it compute \[\binom{8}{4}\left(\frac{1}{2}\right )^{8}\]
\(n=8, k=4, p=1-p=\frac{1}{2}\)
so there is no need for bernoulli distribution. what do they exactly mean by this sentence "A marlbe is chosen at random and replaced"?
these are bernoulli trials and you do use the binomial distribution
ok
but since both \(p\) and \(1-p\) are \(\frac{1}{2}\) you don't need to write something silly like \[\binom{8}{4}(\frac{1}{2})^4\times (\frac{1}{2})^4\]
so when they say "this selection process is completed 8 times" it mean we pick from the box 8 marbles at a time?
im starting to get it now
Each pick of the marble is a Bernoulli trial. But when you pick 8 times and want to find 4 success (red), you need the Binomial distribution @satellite73 gave you.
what if it asked me about the probability of 1 red marble and 2 blue marbles?
You pick one marble at a time, out of 8 marbles all the time. That is why the probability remains 1/2 for all 8 trials (because of replacement).
of obtaining*
ill try do it on my on
own*
and correct me later if i am mistaken
That will be a little more complicated, because binomial distribution does not apply any more when your successful event include more than one colour.
ok could you please show me how it is done
Binomial distribution applies only to Bernoulli trials.
@satellite73 's expression breaks down as follows: \( C^n_r\ p^r\ q^{n-r} \) and applies to n Bernoulli trials with r successes (and n-r failures) with a probability of success equal to p (and probability of failure q=1-p).
so how is it done if they were to ask me to find the probability of mixed marlbes?
In the given problem, n=8 (trials) r=4 (successes) n-r=4 (failures) p= 1/2 (probability of success) q= 1-1/2= 1/2 (probability of failure) and \( C^n_r =\frac{n!}{r!(n-r)!} = \frac{8!}{4!4!}\) So the final probability comes down to: \( P(4\ reds) = \frac{8!}{4!4!}(\frac{1}{2})^4(\frac{1}{2})^4 \)
thanks guys for your help and time. i really appreciate it
You're welcome! Hope you get the hang of the binomial distribution.
but what if i was asked to find the probability of mixed marlbes? for instance 1 red and 2 blue?
how can it be solved
@satellite73
would it look like this (10 5) (10 3)/ (10 3)????
sorry (10 1) (10 2)/ (10 3)????
im stuffing up real bad :(
I do not know of an explicit formula for that, see if @satellite73 has a clue. This problem will have to resort to counting, or probability trees. Have you done any of these?
i guess it is (5 1) (3 2) /(10 3)
yes with @satellite73
it should be 0.125
In this case, we can still use the binomial distribution to pick 5 yellows, namely \( C^8_5\ (\frac{1}{5})^5 \ (\frac{4}{5})^3 \) There are 8 possible arrangements for the remaining marbles, red and blue, namely RRR RRB RBR RBB BRR BRB BBR BBB out of which 3 are 1 red and 2 blues. So multiply the above by \( \frac{3}{8} \) to get \( \frac{3}{8}\ C^8_5\ (\frac{1}{5})^5 \ (\frac{4}{5})^3 \)
one red and two blue out of how many picked? three?
yes
out 0f 10 marlbes in total
you had it above
that is how you taught me to do it
is it right?
\[\frac{\binom{5}{1}\binom{3}{2}}{\binom{10}{3}}\]
:)
thanks little by little im getting good at this :)
yeah practice is good
@satellite73 just to make sure, the solution is for picking 3 marbles, right?
yes
thank you!
yw clear right? it is instant to write the solution, just takes a minute to compute
i got an ice chest with 7 miller, 8 bud, 10 strohs if i pick 4 at random, the probability i get 1 miller 2 buds and a stohs is \[\frac{\binom{7}{1}\binom{8}{2}\binom{10}{1}}{\binom{15}{4}}\]
Do you mean C(25,4) at the bottom?
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