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!
3.
7 (Seven) is the next number in your sequence ! Plus four minus two plus four minus two plus four minus two and so on and so on !
A plus + a plus is a plus.
2
Yes it does. A minus is the opposite of something, so the minus of a minus is a plus.
The answer will depend on the distribution of the variable.
-8
3.
If something plus and minus something else make two then the initial value must be 2.
9A:2 - 1 - 1 + 1 - 1 + 3 - 2 + 6 = 7The answer is seven.
Three minus three times six plus two is equal to -13.
It Equals 2
Plus and minus.
7 (Seven) is the next number in your sequence ! Plus four minus two plus four minus two plus four minus two and so on and so on !
The mean plus or minus 2.576 (4/sqr.rt. 36)= 1.72 So take your average plus or minus 1.72 to get your confidence interval
Five eights plus two thirds minus one fourth is equal to 1.04
Nine tenths plus two fifths minus one fourth is equal to 1.05