Answer:
Below are the responses to the given question:
Step-by-step explanation:
Let X become the random marble variable & g have been any function.
Now.
For point a:
When X is discreet, the g(X) expectation is defined as follows
Then there will be a change of position.
E[g(X)] = X x∈X g(x)f(x)
If f is X and X's mass likelihood function support X.
For point b:
When X is continuing the g(X) expectations is calculated as, E[g(X)] = Z ∞ −∞ g(x)f(x) dx, where f is the X transportation distances of probability.If E(X) = −∞ or E(X) = ∞ (i.e., E(|X|) = ∞), they say it has nothing to expect from EX is occasionally written to stress that a specific probability distribution X is expected.Its expectation is given in the form of,E[g(X)] = Z x −∞ g(x) dF(x). , sometimes for the continuous random vary (x). Here F(x) is X's distributed feature. The anticipation operator bears the lineage of comprehensive & integral features. The superposition principle shows in detail how expectation maintains equality and is a skill.
It should be 7. No bigger number can go into either.
Answer:
3)7
Step-by-step explanation:
Answer:
3x² + 6x + 4
Step-by-step explanation:
6x + 7 + x² + 2x² - 3
→ Collect like terms
x² + 2x² + 6x + 7 - 3
→ Simplify
3x² + 6x + 4
SY = SK+KY
36–x = (13x-5) + (2x+9)
13x+2x+x= 36+5-9
16x= 32
x= 32/16
x= 2
<h3>x= 2</h3><h3 />
SK= 13x-5 = 13(2)-5=26-5=21
<h3>SK=21</h3>
KY=2x+9=2(2)+9=4+9=13
<h3>KY=13</h3>
SY=36-X= 36-2=34
<h3>SY= 34</h3>
<h3>SO; </h3><h3 /><h3>X=2 </h3><h3 /><h3>Sk=21 </h3><h3 /><h3>KY=13 </h3><h3 /><h3>SY=34</h3>
I hope I helped you^_^
