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The following table shows the probability distribution for a discrete random variable. X 13 16 18 21 23 25 26 31 P(X) 0.07 0.21 0.17 0.25 0.05 0.04 0.13 0.08 The mean of the discrete random variable X is 20.59. What is the variance of X? Round your answer to the nearest hundredth.

Mathematics
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http://math.elon.edu/statistics112/prob_dist.html
\[s2 = Σ ( x _{I} - x )2 / ( n - 1 )\]
are you there??

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Other answers:

yes
can you explain the equation a bit?
sure lets star with \[\sum_{i=1}^{n}\]
do you understand what this means?
yes
good then\[x_{i} -x\] xi is each value of your x value . -x really i cant use xbar because the keyboard is limited .. x bar is the average= \[xbar=\sum_{i=1} x _{i}/n\]
we are assuming that you have sample and not population as well !!!!
alright..I'm a little lost now
tell me where.
at the last part you posted
"we are assuming that you have sample and not population as well" that
yes and before that
look. inorder to help you you need to be clear as to where are you not understanding . so i can help you better. thanks
I'm sorry, I just don't understand it.
no need to be sorry . :)
have you done statistics before ?
no, but this is in my algebra 2 work
thats cool/
do you now how to get the mean?
yes
ok so were half way.
lets talk concept first. is that ok?
sure
variance is the distance from the mean measured in squares. |dw:1343956195413:dw|
in you r case you have many data points. so really your job is fine all the distance from the mean and then sum them up and divide by the number of data point and minus 1.
s2=Σ(xI−x)2/(n−1) thats what this formula say.
oh alright
share what your thinking if you like?
if you like to , be my fan and send my question and thoughts if you want and dont forget to click on best response . thanks @chocolatechip_543

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