The mean of discrete random variance variable X is 19.59. What is the variance?
@camerondoherty
mean = np variance = np(1-p) but there are way to meany versions of np for the factors of 19.59 to determine that with from what i see ...
Do you know what kind of random variable it is?
lol, its just some random variable you find lying in the street :)
(x,p(x)) = (12,0.07) (15,0.21) (17,0.17) (20,0.25) (22,0.05) (24,0.04) (25,0.13) (30,0.08)
Well what is it's distribution. We can't assume the mean is np unless it's binomial
discrete random variable
hmm, i do like making assumptions, but ill concede this point
\[ E(X^2)=\sum_{x}x^2p(x)\] and \[Var(X)=E(X^2)-[E(X)]^2 \]
\[E(X)=\sum xp(x)\] \[VAR(X)=\sum [x-E(X)]^2p(x)\]
yeah, something like that :)
they are the same :)
It says...The following table shows the probability distribution for a discrete variable. Then the chart i listed above, and then the question i asked
we have presented you with a few ways to approach the solution .... any questions about these methods?
I have no idea what that formula means
or what to do with it?
have you read your lesson materials?
There is no lesson material
it is an online credit recovery program for highschool and it just gives quizzes from algebra 2 that i am supposed to know how to do already
can you use excel?
the process is simple enough, its just time consuming with so many data points
They give you a pair of (x, p(x)), so to find \[E(X^2)=\sum_{x}x^2p(x)\], you multiply the square of the x-value with p(x). Do this for every pair they gave you, then add them up. \[E(X^2)=12^2(0.07)+15^2(0.21)+...+30^2(0.08) \] The the variance is \(Var(X)=E(X^2)-[E(X)]^2\). Now \(E(X)\) is just the mean that they gave you above (19.59) So once you calculate \(E(X^2)\) from above, just do: \(Var(X)=E(X^2)-(19.59)^2\)
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