z = (x-mu)/sigma So x = sigma*z + mu = 3m*(-3) + 25 = -9m + 25
Let x denote the values of the variable in question. Suppose there are n observations. Let Sx = the sum of all the values. then the mean of x, Mx = Sx/n Let Sxx = the sum of all the squares of the values. The Vx (= the variance of x) is Sxx - (Mx)^2 and sigma(x) = sqrt(Vx). Therefore one sigma deviation, relative to the mean, = Mx - sigma(x), Mx + sigma(x).
Sigma
In statistics, sigma is a measure of the standard error of a variable. That is a measure of the spread of the variable around its mean value. Many variables are distributed approximately according to the Gaussian (Normal) distribution. Even when they are not, the means of repeated samples are (Central Limit Theorem). For the Gaussian distribution, 95% of the observations lie within 1.96*sigma from the mean. This is sometimes rounded to two sigma. While for an exact Gaussian distribution 2 sigma would imply 95.45%, for approximate Gaussian, it is still "around" 95%. Thus, for example, average IQ (whatever it measures, which certainly is not intelligence!) is 100 and sigma = 15. So 95% of the population will have IQs between 100-2*sigma and 100+2*sigma, which is 70 and 130. By the way, if you think my comment about what IQs measure is sour grapes, I assure you that is nowhere near the truth!
Denote: ai = contrast and ni = sample size for each level Estimate of contrast: sum( ai ybari ) note: sum is written as Sigma Standard Error of contrast: sqrt( sum( sigma2 ai2 / ni ) ) note: sum is written as Sigma, and lowercase sigma is usually estimated with MSE Sums of Squares of contrast: ( sum( ai ybari ) )2 / ( sum( ai2 / ni ) ) note: sum is written as Sigma Usually when one uses estimate divided by SE, the test statistic follows a t-distribution (unless he/she didn't estimate lowercase sigma). When one uses SS(contrast) divided by MSE, the test statistic follows a F-distribution. The formulas are similar because there's a strong relationship between the t-distribution and the F-distribution. Hopes this helps and sorry I don't know how to write math equations here.
The capital letter sigma (Ʃ) means sum, so this tells you to add up a set of numbers.
sigma thita alpha bita gama root square
Sigma Sigma Rho was created in 1998.
Sigma Sigma Sigma
Sigma Mu Sigma was created on 1921-03-25.
Kappa Sigma Sigma's motto is 'A kappa sig nunquam mendums'.
Oh, dude, sigma is like the Greek letter that looks like an E that had a few too many drinks and started wobbling around. And a rizzler? That's like a paper you use to roll up your... herbs. So, technically, sigma isn't a rizzler at all. It's more like comparing a fancy math symbol to a humble rolling paper—apples and oranges, my friend.
Sigma Pi Sigma was created on 1921-12-11.
The motto of Phi Sigma Phi is 'Do unto others as you would'.
The capital sigma. The capital sigma. The capital sigma. The capital sigma.
Hit the Math button (Right under ALPHA) and it should already be on the MATH tab. go down to summation ∑( and you're set!
Phi Sigma Sigma was created on 1913-11-26.