Question #112321
Show that the Geometric distribution r.v satisfies the equation
P(X > i + j|X > i) = P(X > j)
1
Expert's answer
2020-04-27T16:12:00-0400

A is an event,p=P(A).Trials are conducted until A occurs.P{X=k}=(1p)k1p,k=1,2,P{X>i+jX>i}=P{X>i+j,X>i}P{X>i}=P{X>i+j}P{X>i}==k=i+j(1p)kpk=i(1p)kp=(1p)i+jp1(1p)(1p)ip1(1p)=(1p)i+j(1p)i=(1p)j.Here first we used the formula of conditional probabilityand then the formula of sum of geometric progression.P{X>j}=k=j(1p)kp=(1p)jp1(1p)=(1p)j(we used the formula of sum of geometric progression).A \text{ is an event}, p=P(A).\\ \text{Trials are conducted until }A\text{ occurs}.\\ P\{X=k\}=(1-p)^{k-1}p, k=1,2,\ldots\\ P\{X>i+j|X>i\}=\frac{P\{X>i+j,X>i\}}{P\{X>i\}}=\frac{P\{X>i+j\}}{P\{X>i\}}=\\ =\frac{\sum_{k=i+j}^\infty (1-p)^kp}{\sum_{k=i}^\infty (1-p)^kp}=\frac{\frac{(1-p)^{i+j}p}{1-(1-p)}}{\frac{(1-p)^{i}p}{1-(1-p)}}=\frac{(1-p)^{i+j}}{(1-p)^i}=(1-p)^j.\\ \text{Here first we used the formula of conditional probability}\\ \text{and then the formula of sum of geometric progression}.\\ P\{X>j\}=\sum_{k=j}^{\infty} (1-p)^k p=\frac{(1-p)^jp}{1-(1-p)}=(1-p)^j\\ \text{(we used the formula of sum of geometric progression)}.


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