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Finding mean and variance - Discrete Probability


Variance in a Discrete Probability Distribution (Homework)Conditional mean and variancevariance and generating function - probability hat problemFinding the Mean, Variance, and Probability of a Poisson ModelFinding moment-generating function and variance of discrete RVFinding the mean and variance of an exponential probability distributionPoison distribution variance,probability. and mean.Finding expectation and varianceMoment generating function for finding mean and varianceProbability distribution mean and variance













0












$begingroup$


enter image description here



So I think I know how to get the variance for these, first we need to find $E(X)$ right? So $E(X)$ for $a$ would be:



$$-1 * frac14 + 0 * frac12 + 1 * frac14 = 0$$



So to find the variance, we need $E((x - E(x))^2)$




So is it $(-1 - 0)^2 + (0-0)^2 + (1-0)^2$ which is just $2$?











share|cite|improve this question











$endgroup$





This question has an open bounty worth +50
reputation from Stuy ending ending at 2019-03-18 21:34:47Z">in 7 days.


This question has not received enough attention.


I dont know how to find the mean from this info















  • $begingroup$
    Remember to multiply by the probabilities! So $mathbbEleft[(X-mathbbE[X])^2right] = (-1-0)^2 colorbluetimesfrac14 + cdots$.
    $endgroup$
    – Minus One-Twelfth
    2 days ago











  • $begingroup$
    A more explicit formula for a is $Var(X)=sumlimits_x=-1^1 p(x)cdot (x-E(x))^2$
    $endgroup$
    – callculus
    2 days ago











  • $begingroup$
    How do I find the mean? @callculus
    $endgroup$
    – Stuy
    4 hours ago















0












$begingroup$


enter image description here



So I think I know how to get the variance for these, first we need to find $E(X)$ right? So $E(X)$ for $a$ would be:



$$-1 * frac14 + 0 * frac12 + 1 * frac14 = 0$$



So to find the variance, we need $E((x - E(x))^2)$




So is it $(-1 - 0)^2 + (0-0)^2 + (1-0)^2$ which is just $2$?











share|cite|improve this question











$endgroup$





This question has an open bounty worth +50
reputation from Stuy ending ending at 2019-03-18 21:34:47Z">in 7 days.


This question has not received enough attention.


I dont know how to find the mean from this info















  • $begingroup$
    Remember to multiply by the probabilities! So $mathbbEleft[(X-mathbbE[X])^2right] = (-1-0)^2 colorbluetimesfrac14 + cdots$.
    $endgroup$
    – Minus One-Twelfth
    2 days ago











  • $begingroup$
    A more explicit formula for a is $Var(X)=sumlimits_x=-1^1 p(x)cdot (x-E(x))^2$
    $endgroup$
    – callculus
    2 days ago











  • $begingroup$
    How do I find the mean? @callculus
    $endgroup$
    – Stuy
    4 hours ago













0












0








0





$begingroup$


enter image description here



So I think I know how to get the variance for these, first we need to find $E(X)$ right? So $E(X)$ for $a$ would be:



$$-1 * frac14 + 0 * frac12 + 1 * frac14 = 0$$



So to find the variance, we need $E((x - E(x))^2)$




So is it $(-1 - 0)^2 + (0-0)^2 + (1-0)^2$ which is just $2$?











share|cite|improve this question











$endgroup$




enter image description here



So I think I know how to get the variance for these, first we need to find $E(X)$ right? So $E(X)$ for $a$ would be:



$$-1 * frac14 + 0 * frac12 + 1 * frac14 = 0$$



So to find the variance, we need $E((x - E(x))^2)$




So is it $(-1 - 0)^2 + (0-0)^2 + (1-0)^2$ which is just $2$?








probability discrete-mathematics






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited 2 days ago









Dr. Mathva

2,296526




2,296526










asked 2 days ago









StuyStuy

4351412




4351412






This question has an open bounty worth +50
reputation from Stuy ending ending at 2019-03-18 21:34:47Z">in 7 days.


This question has not received enough attention.


I dont know how to find the mean from this info








This question has an open bounty worth +50
reputation from Stuy ending ending at 2019-03-18 21:34:47Z">in 7 days.


This question has not received enough attention.


I dont know how to find the mean from this info













  • $begingroup$
    Remember to multiply by the probabilities! So $mathbbEleft[(X-mathbbE[X])^2right] = (-1-0)^2 colorbluetimesfrac14 + cdots$.
    $endgroup$
    – Minus One-Twelfth
    2 days ago











  • $begingroup$
    A more explicit formula for a is $Var(X)=sumlimits_x=-1^1 p(x)cdot (x-E(x))^2$
    $endgroup$
    – callculus
    2 days ago











  • $begingroup$
    How do I find the mean? @callculus
    $endgroup$
    – Stuy
    4 hours ago
















  • $begingroup$
    Remember to multiply by the probabilities! So $mathbbEleft[(X-mathbbE[X])^2right] = (-1-0)^2 colorbluetimesfrac14 + cdots$.
    $endgroup$
    – Minus One-Twelfth
    2 days ago











  • $begingroup$
    A more explicit formula for a is $Var(X)=sumlimits_x=-1^1 p(x)cdot (x-E(x))^2$
    $endgroup$
    – callculus
    2 days ago











  • $begingroup$
    How do I find the mean? @callculus
    $endgroup$
    – Stuy
    4 hours ago















$begingroup$
Remember to multiply by the probabilities! So $mathbbEleft[(X-mathbbE[X])^2right] = (-1-0)^2 colorbluetimesfrac14 + cdots$.
$endgroup$
– Minus One-Twelfth
2 days ago





$begingroup$
Remember to multiply by the probabilities! So $mathbbEleft[(X-mathbbE[X])^2right] = (-1-0)^2 colorbluetimesfrac14 + cdots$.
$endgroup$
– Minus One-Twelfth
2 days ago













$begingroup$
A more explicit formula for a is $Var(X)=sumlimits_x=-1^1 p(x)cdot (x-E(x))^2$
$endgroup$
– callculus
2 days ago





$begingroup$
A more explicit formula for a is $Var(X)=sumlimits_x=-1^1 p(x)cdot (x-E(x))^2$
$endgroup$
– callculus
2 days ago













$begingroup$
How do I find the mean? @callculus
$endgroup$
– Stuy
4 hours ago




$begingroup$
How do I find the mean? @callculus
$endgroup$
– Stuy
4 hours ago










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