Title | M20worksheet 4 answers |
---|---|
Author | J Az |
Course | Probability Theory |
Institution | University of California Los Angeles |
Pages | 3 |
File Size | 44.4 KB |
File Type | |
Total Downloads | 60 |
Total Views | 117 |
Lecture notes for lecture 10...
+∞ ∑
kP (X = k).
k=1
+∞ ∑
P (X ≥ k).
k=1
|
{z
∑
}
P (X ≥ k)
k=1
∑ (P (X = k) + P (X = k + 1) + P (X = k + 2) + · · · ). k=1
∑
P (X ≥ k) =
k=1
+∞ ∑
= =
k=1 +∞ ∑
k=1 +∞ ∑
∞ ∑
kP (X = k) = E[X]
k=1
P (X ≥ k) (1 − p)k−1 (1 − p)l
l=0
=
1 1 = 1 − (1 − p)
mX (x)
x · P (X = x|A). x∈Ω
k ∑ j=1
E[X|Fj ]P (Fj )....