ANSWER:
E[X] ≈ m ln m
STEP-BY-STEP EXPLANATION:
Hint: Let X be the number needed. It is useful to represent X by
m
X = ∑ Xi
i=1
where each Xi is a geometric random variable
Solution: Assume that there is a sufficiently large number of coupons such that removing a finite number of them does not change the probability that a coupon of a given type is draw. Let X be the number of coupons picked
m
X = ∑ Xi
i=1
where Xi is the number of coupons picked between drawing the (i − 1)th coupon type and drawing i th coupon type. It should be clear that X1 = 1. Also, for each i:
Xi ∼ geometric
P r{Xi = n} =
Such a random variable has expectation:
E [Xi
] =
= 
Next we use the fact that the expectation of a sum is the sum of the expectation, thus:
m m m m
E[X] = E ∑ Xi = ∑ E Xi = ∑
= m ∑
= mHm
i=1 i=1 i=1 i=1
In the case of large m this takes on the limit:
E[X] ≈ m ln m
Answer:
<u>Given equation:</u>
<u>To find the y-intercept, evaluate the equation with x = 0:</u>
- y = 10*0 - 32
- y = 0 - 32
- y = -32
<u>To find the x-intercept, evaluate the equation with y = 0:</u>
- 0 = 10x - 32
- 10x = 32
- x = 32/10
- x = 3.2
First, let's find the area of one face of the cube.
Area = base x height
A = 5 x 5 = 25
There are 6 faces on a cube, so we can multiply the area of one face by 6 to get the total surface area.
SA = 25 x 6 = 150 ft^2
Hope this helps!
Answer:
161
Step-by-step explanation: