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- By definition, we have that the variance of random variable <math>Z</math> is given by <br/>2 KB (333 words) - 14:17, 13 June 2013
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- ; within-class variance : <math>\sigma_W^2 = \omega_0 \sigma_0^2 + \omega_1 \sigma_1^2</math> ; between-class variance : <math>\sigma_B^2 = \omega_0 (\mu_0 - \mu_T)^2 + \omega_1 (\mu_1 - \mu_T)^14 KB (2,253 words) - 12:21, 9 January 2009
- * [[2008/10/02_MA375Fall2008walther]] - Recurrence Relations and sequences, variance and independence10 KB (1,377 words) - 14:49, 20 September 2012
- X(n) is i.i.d Gausian 0 mean with variance <math>\sigma_x^2</math><br/>3 KB (522 words) - 06:45, 16 September 2013
- You can follow the same rules for finding the mean and variance of y.2 KB (292 words) - 06:18, 2 April 2009
- '''Definition of expectation and variance''' and their properties3 KB (525 words) - 13:04, 22 November 2011
- ...r of candy bars you eat before you have all coupons. What are the mean and variance of <math>X</math>? [[5.1 - Chris Cadwallader_ECE302Fall2008sanghavi]] Variance4 KB (656 words) - 12:56, 22 November 2011
- Also, note for geom(p), variance is <math>\frac{1-p}{p^2}</math>. I don't think we can simply add all the v715 B (131 words) - 19:25, 6 October 2008
- This is my little scratchpad for the variance.231 B (48 words) - 10:13, 7 October 2008
- ==Variance==413 B (51 words) - 11:28, 7 October 2008
- ...ndently, with each one being a Gaussian random variable with zero mean and variance of 1. Let <math>D</math> be the square of the (random) distance of the poin3 KB (449 words) - 12:57, 22 November 2011
- ...ys that we need to generate a Gaussian variable, do we assume a mean and a variance?138 B (29 words) - 16:43, 20 October 2008
- == Problem 2: Bounded Variance == *(a) What is the maximum variance possible for a Bernoulli random variable?3 KB (528 words) - 12:58, 22 November 2011
- The problem only asks for the variance of a uniform R.V. on the interval [a,b] Thus using the formula for variance:325 B (62 words) - 13:17, 2 November 2008
- To find the maximum variance of a Bernoulli RV first find the variance equation. ...ual to 0 and find the value of p that results in the largest value for the variance.384 B (69 words) - 13:16, 2 November 2008
- the variance of a binomial random variable:490 B (94 words) - 07:00, 3 November 2008
- After maximizing the variance equation, we get the result as:150 B (26 words) - 18:56, 3 November 2008
- To ensure that the calculated maximum variance is indeed a maximum, and not a minimum, you must take the second derivative306 B (56 words) - 19:53, 3 November 2008
- ...math>f_Y(y)</math> of the random variable <math>Y</math>, and its mean and variance, <math>E[Y]</math>, and <math>Var[Y]</math>. ...h>0 < \alpha < 1/2</math>. Then find the conditional mean and conditional variance of <math>Y</math> given that <math>X = \alpha</math>.4 KB (703 words) - 12:58, 22 November 2011
- ...Both of your variances are wrong, remember that you can't have a negative variance. Use the Var[X] = E[X^2] - (E[X])^2 formula. (Gregory Pajot)1 KB (228 words) - 19:34, 9 December 2008
- a)Does any one know what to do to the variance when multiplied by a number? I know that when added together:408 B (78 words) - 11:10, 8 December 2008
