Poisson관련 내용은 [[VG:푸아송_분포,Poisson_distribution]]에 적음. = Conditional probability mass function = 조건부 확률질량함수,conditional_pmf 조건부 기대치,conditional_expected_value 조건부 분산,conditional_variance from http://www.kocw.net/home/search/kemView.do?kemId=1279832 8. Conditional Probability, Independence of Events, Sequential Experiments 1:02:39 Let d.r.v.(discrete random variable) X with pmf P,,X,, and event C with P(C)>0. → the '''conditional probability mass function''' of X given event C: $P_X(x|C)=P(X=x|C)=\frac{P(\{X=x\}\cap C)}{P(C)}$ def. (a) the '''conditional expected value''' of X given event C: $E(X|C)=m_{X|C}=\sum_{\textrm{all }k}x_kP_k(x_k|C)$ 사건 C가 일어났을 때 X의 조건부 기대치. pmf 자리에 조건부pmf가 왔음. (b) the '''conditional variance''' of X given event C: $VAR(X|C)=E\left((X-m_{X|C})^2\right)=E(X^2|C)-\left(E(X|C)\right)^2$ C라는 사건이 일어났을 때 X의 조건부 분산. ex. Let r.v. X : the maximum number of heads obtained Tom and Jane each flip a fair coin twice. (a) Find the pmf of X. Sol. ||J\T ||0 ||1 ||2 || ||0 ||0 ||1 ||2 || ||1 ||1 ||1 ||2 || ||2 ||2 ||2 ||2 || 이것은 ||곱 ||¼ⓐ||½ⓑ||¼ⓒ|| ||¼||1/16 ||1/8 ||1/16 || ||½||1/8 ||1/4 ||1/8 || ||¼||1/16 ||1/8 ||1/16 || ⓐ tom이 앞면의 개수가 0이 나오는 것은, 1/2 * 1/2 = 1/4 ⓑ tom이 앞면의 개수가 한번 나오는 것은, 앞뒤 뒤앞이니까 1/2 ⓒ 앞앞이니까 1/4 so, pmf: ||X ||0 ||1 ||2 || ||P,,X,, ||1/16 ||1/2 ||7/16 || 9. Cumulative Distribution Function , Probability Density Function (b) Find the conditional pmf of X=2 given that Jane got one head in two tosses. 사건 "Jane got one head in two tosses"를 $J_H_1$ 로. Sol. $P(X=2|J_H_1)=\frac{P(\{X=2\}\cap J_H_1)}{P(J_H_1)}=\frac{\frac18}{\frac12}=\frac14.$ $P(X=1|J_H_1)=\frac{\frac38}{\frac12}=\frac34$ $P(X=0|J_H_1)=\frac{0}{\frac12}=0$ ---- Related: [[확률,probability]] [[VG:확률,probability]] [[VG:연속확률분포,continuous_probability_distribution]] [[VG:이산확률분포,discrete_probability_distribution]] [[VG:전확률정리,total_probability_theorem]] [[VG:조건부확률,conditional_probability]] [[VG:집합과_확률,set_and_probability]] [[VG:확률밀도함수,probability_density_function,PDF]] [[VG:확률분포,probability_distribution]] [[VG:확률질량함수,probability_mass_function,PMF]] [[VG:확률함수,probability_function]] Twin: [[VG:확률및랜덤프로세스]]