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:
thats an acute
Step-by-step explanation:
Answer:
31/-45
Step-by-step explanation:
rise is 31(-8 to 23) and run is -45 since you are going from 30 to -15
Answer:
Yes; LA (D)
Step-by-step explanation:
one of the legs are congruent. LA and PT are congruent. This makes up the "L" part of "LA"
Also, angle PCT and angle LFA are congruent base on the diagram. This makes up the "A" part of "LA"
Answer:step 3 Step-by-step explanation: because it is right and i took the test edge 2021