List the values of the given random variable X together with the probability distributions. An urn contains 3 red balls and 7 white balls. Three balls are drawn with replacement. The random variable X is the number of red balls that are drawn.
X follows a binomial distribution n=3 p=.3
where did the n come from?
and what are the rest of the values?
For me this is a HyperGeomtric distribution because you draw 3 balls but this three balls can come in many combinations posible. Examples :(red , white , white),(red,red,red)(white , red ,white),etc the solution is in the file Any questions you are welcome
it is not hypergeometric...the sampling is done with replacement
it is binomial
"Three balls are drawn with replacement" three balls...therefore the number of trials n is 3
so they are not dragged randomly , so they hava an order
they are picked randomly and without order
still binomial
"without order" since we only care about the number of red after the 3 trials
can you tell me the definition of . " drawn with replacement "
you pick a ball from the urn...you record the color...you put the ball back into the urn...then you sample again
partMy first language is not english so I must hava misunderstood that e
it the sample was done without replacement then we would have a hypergeometric distribution
sorry my bad
us the binomial distribution \[P(X=x)={3\choose x}(.3)^x(.7)^{3-x}\]
so what is the answer for P(x=0)
\[P(X=x)={3\choose 0}(.3)^0(.7)^{3}\]
=\[.7^3\]
=.343
Pr(x=0)=(0.7)*(0.7)*(0.7) Pr(x=3)=(0.3)*(0.3)(0.3) Pr(x=1)=(0.3)*(0.7)(0.7) *Combinations Pr(x=2)=(0.3*0.7*0.7)*Combinations is that ok???
"Pr(x=2)=(0.3*0.7*0.7)*Combinations" is not correct
Pr(x=0)=(0.7)*(0.7)*(0.7) Pr(x=3)=(0.3)*(0.3)(0.3) Pr(x=1)=(0.3)*(0.7)(0.7) *Combinations Pr(x=2)=(0.3*0.3*0.7)*Combinations
so for x=1 its (3/1)(.3)^1(.7)^3
it is \[3\cdot(.3)^1\cdot(.7)^2\]
@ David correct...what are the combinations though
why .7^2 instead of .7^3?
when x=1 we want 1 read out of 3 that means 1 red and 2 white
it can be in different positions it can be R W W W RW W W R
lol..."red" not 'read'
yes...so 3 ways
\[{3\choose 1}=3\]
\[{3\choose 1}=_3C_1=\frac{3!}{1!(3-1)!}=3\]
so then for x=2 it would be (3/2)(.3)^2(.7)^1
no... \[P(X=2)={3\choose 2}(.3)^2(.7)^{1}=3\cdot(.3)^2\cdot(.7)^1\]
\[{3\choose 2}\neq3/2\]
Pr(x=0)=(0.7)*(0.7)*(0.7)=0.343 Pr(x=3)=(0.3)*(0.3)(0.3)=0.027 Pr(x=1)=(0.3)*(0.7)(0.7) *Combinations=0.147*3(differen position)=0.441 Pr(x=2)=(0.3*0.3*0.7)*Combinations=0.063**3=0.189 that would be answers i Think
well what does 3 mean? 2
@David..you are correct
they can come in 3 diferrent ways RWW WWR WRW
\[{3\choose 2}=_3C_2=\frac{3!}{2!(3-2)!}=3\]
\[{3\choose 2}=_3C_2=\frac{3!}{2!(3-2)!}=\frac{3!}{2!\cdot 1!}=\frac{3\cdot2\cdot1}{2\cdot1\cdot1}=3\]
when n and x are small you can list them as David did
so how would i set up x=3?
x=3 is RRR only one way to do that so ... \[1\cdot (.3)^3(.7)^0=.3^3\]
or \[P(X=3)={3\choose 3}(.3)^3(.7)^0=1\cdot(.3)^3\cdot(.7)^0\]
.027?
yes
Remember one way to verify if u are correct is summing up the probabilities then you have to get ONE "1" otherwise something is wrong
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