Let's say you want to compute the probability

where

converges in distribution to

, and

follows a normal distribution. The normal approximation (without the continuity correction) basically involves choosing

such that its mean and variance are the same as those for

.
Example: If

is binomially distributed with

and

, then

has mean

and variance

. So you can approximate a probability in terms of

with a probability in terms of

:

where

follows the standard normal distribution.
Answer:
the difference is that the 2 extra LARGE containers weigh bigger than the
6 small ones
Step-by-step explanation:
Answer:
x = -2
Step-by-step explanation:
10x+8=3x-6
subtract 10x-3x
7x+8= -6
subtract -6-8
7x=-14
divide 7 into -14
x = -2
Hope this helps!
Answer:
(x) = 
Step-by-step explanation:
let y = f(x) , then rearrange making x the subject
y = 6x + 7 ( subtract 7 from both sides )
y - 7 = 6x ( divide both sides by 6 )
= x
Change y back into terms of x with x =
(x) , then
(x) = 