Two events A and B are said to be independent if P(A) * P(B) = P(A B)
P(A B) is calculated from the below equation
P(A U B) = P(A) + P(B) - P(A B)
Question (i)
P(E) = 0.9, P(F) = 0.8, P(E U F) = 0.99
P(E U F) = P(E) + P(F) - P(E F)
0.99 = 0.9 + 0.8 - P(E F)
P(E F) = 1.7 - 0.99
= 0.71
P(E) * P(F) = 0.9 * 0.8
= 0.72
P(E) * P(F) P(E F)
Hence E and F are not independent
Question (ii)
P(E) = 0.4, P(F) = 0.5, P(E U F) = 0.69
P(E U F) = P(E) + P(F) - P(E F)
0.69 = 0.4 + 0.5 - P(E F)
P(E F) = 0.9 - 0.69
= 0.21
P(E) * P(F) = 0.4 * 0.5
= 0.2
P(E) * P(F) P(E F)
Hence E and F are not independent
Question (iii)
P(E) = 0.3, P(F) = 0.1, P(E U F) = 0.37
P(E U F) = P(E) + P(F) - P(E F)
0.37 = 0.3 + 0.1 - P(E F)
P(E F) = 0.4 - 0.37
= 0.03
P(E) * P(F) = 0.3 * 0.1
= 0.03
P(E) * P(F) P(E F)
Hence E and F are independent
So only in Case (iii) E and F are independent
Problem #9: Let E and F be events whose probabilities are given in each case below....
e and E and P events associated with S. Suppose that Pr(E)-0.5, Pr(F) -0.4 (a) If E and F are independent, calculate: i. Pr(EnF) ii. Pr(EUF) iii. Pr(El) iv. Pr(FIE) (b) If E and F are mutually exclusive, calculate: i. Pr(ENF) ii. Pr(EUF) iii. Pr(E|F) iv. Pr(FIE)
3.2 Independent and Mutually Exclusive Events 40. E and Fare mutually exclusive events. P(E) = 0.4; P(F) = 0.5. Find P(E|F)41. J and K are independent events. P(J|K) = 0.3. Find P(J) 42. U and V are mutually exclusive events. P(U) = 0.26: P(V) = 0.37. Find:a. P(U AND V) =a. P(U|V) =a. P(U OR V) =43. Q and Rare independent events P(Q) = 0.4 and P(Q AND R) = 0.1. Find P(R)
9. Given: Independent events E, Ег. Ез and probabilities: P(B)-0.1, P(E)-ΟΙ 5, P(E)-02. Find the probability of the union of events E, E, and E that is P(s) Pr(E, UE,UE,). Find the intersection of events E, and E2 PE, E, ) . Answer on reverse side of paper.
Observable Markov Model Given the observable Markov Model with three states, S1, S2, S3, initial probabilities \pi = [0.5, 0.2, 0.3]^T and transition probabilities A = [0.4 0.3 0.3 0.2 0.6 0.2 0.1 0.1 0.8] write a code that generates i) 20 sequences of 100 states, ii) 20 sequences of 1000 states, iii) 100 sequences of 100 states, iv) 100 sequences of 1000 states. Java or R implementation
Let E and F be two events of an experiment with sample space S. Suppose P(E)= 0.4, P(F)=0.3, P(E U F) =0.5, Find P(F|E) and determine if the two events are independent. A) P(F|E)= 3/4, E and F are independent. B) P(F|E)= 3/4, E and F are not independent. C) P(F|E)=1/2 , E and F are independent. D) P(F|E)= 1/2, E and F are not independent.
Chapter 3 3.2 Independent and Mutually Exclusive Events 40. E and Fare mutually exclusive events. P(E)-0.4; P(F) 0.5. Find P(E1F) 41.J and Kare independent events. PUlK) 0.3. Find PC) 42. Uand V are mutually exclusive events. P(U) 0.26; P(V)-0.37. Find: a. P(U AND V)= 43.Q and R are independent events. PQ) 0.4 and P(Q AND R) 0.1. Find P 3.3 Two Basic Rules of Probability Use the following information to answer the next ten exercises Forty-eight perc Californians registered voters...
[15] 4. Let E and F be events of sample space S. Let P(E) = 0.3, P(F) = 0.6 and the P(EUF) = 0.7. a) Fill in all probabilities in the Venn diagram shown. S b) Find P(EnF). c) Find P(ENF). d) Find the P(E|F). e) Are E and F independent events? Justify your answer.
show all the work 2. Let E, F be events with probabilities P(E) = 2, P(F) = 3, PENF) = .1. Compute the probability that at most one of E, F occurs. A. .4 B..5 C..1 D..9
Problem 2. Suppose the sample space S consists of the four points and the associated probabilities over the events are given by P(cu 1)-0.2, P(ω2)-0.3, P(ag)-0.1, P(04)-0.4 Define the random variable X1 by and the random variable X2 by X2(2) 5, (a) Find the probability distribution of X1 (b) Find the probability distribution of the random variable X1 +X2 Problem 3. The random variable X has density function f given by 0, elsewhere (a) Assuming that 0.8, determine K (b)...
F) - 0.2. Compute the values below. Let E and F be two events of an experiment with sample space S. Suppose P(E) - 0.5, PF) - 0.4, and P( E (a) P(EUA) (b) PCE) (c) PFC) (d) PRE-