A fair coin is tossed 3 times in a row. If X is the number of heads counted, what is the mean of the probability distribution of X? 1.0 1.5 2.0 2.5 3.0
@Michele_Laino
please wait a moment
please wait, your last equation is the mean value of x, so it can not be equal to 1
ok
I'm trying to solve your question, please wait...
Yea its all good
X can be 0, 1, 2, or 3
so we get the corresponding probabilities: X=0--->p=0 X=1--->p=1/3 X=2--->p=2/3 X=3--->p=1
so it is 1.0?
why?
cause x=3 at p=1
we have to determine the mean value of X
so find the mean?
I get a 0.5 for the mean
yes! I got the same result
maybe the answer is 1
I think that we have to consider the binomial distribution.
now, if I toss my coin three times in a row, then we have N tests, and X is the number of success in our tests, furthermore the probability to get a tail is 1/2, and the probability to get a head is 1/2, so the probability to get X head is given by the binomial distribution, as follows: \[\left( {\begin{array}{*{20}{c}} 3 \\ X \end{array}} \right){\left( {\frac{1}{2}} \right)^3}\]
where: \[\left( {\begin{array}{*{20}{c}} 3 \\ X \end{array}} \right) = \frac{{3!}}{{X!\left( {3 - X} \right)!}}\]
I get (6 (3-X)!)/(X!)
no, please, the mean value is given by the subsequent formula: \[\mu = \sqrt {Npq} = \sqrt {3 \times \frac{1}{2} \times \frac{1}{2}} = ...?\]
0.866
or sqrt(3)/2
Sorry I have made an error, the mean value of the binomial didtribution, is given by the subsequent formula: \[\Large \mu = Np = 3 \times \frac{1}{2} = ...?\]
distribution*
1.5
that's right!
p is the probability to get a head, namely p=1/2, whereas q is the probability to get a tail, namely q=p=1/2
I also have more questions but I don't think you would want to help me again
thanks alot
I have to help another student, so you have to wait, please post your question
ok! I can help you now!
:)
What is the mean of this probability distribution?
P(X=xi) is for the decimals :0.2,0.3,0.2,0.1,0.1,0.1
1.9 2.9 3.1 3.2 3.4 are the answers
here we have to apply the classical definition of mean value, so we have to do this computation: \[\large 1 \times 0.2 + 2 \times 0.3 + 3 \times 0.2 + 4 \times 0.1 + 5 \times 0.1 + 6 \times 0.1 = ...?\]
2.9
1*0.2+2*0.3+3*0.2+4*0.1+5*0.1+6*0.1=2.9
that's right!
cool
one last question
ok!
I think uniform means continuous
I think that your distribution is like this: |dw:1430867203138:dw|
yea
namely: p(x)=0, if x>b or x<a, and p(x)= b-a, if a<x<b
we can eliminate a
oops. I have made an error, here is the right graph: |dw:1430867434537:dw|
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