Given that the events E and F are disjoint (mutually exclusive). This gives . Also P(E) = p and P(F) = q.
To find: Probability that E will occur before F
Assume that the experiment is repeated for n times and the event E occurs in the n th trial. Then there are (n-1) failures before that. So the probaility of event E occuring before F is equivalent in obtaining
The above value is the answer to the question.
Assume that events (E, F) are disjoint, and their probabilities are specified as (here p. An...
Problem 7: 10 points Assume that events (E, F) are disjoint, and their probabilities are specified as (here p+q1). An experiment is repeated until either E or F will occur Find the probability that E will occur before F Hint Introduce a random variable, N, which is the first occurrence of EUF. Then express the probability that E occurs before F, given that EUF occurs at the time and use the formula where A is the desired event.
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
1. Suppose that A, B, and C are events such that P[A]- PB0.3, PC 0.55, PIANB]- For each of the events given below in parts (a)-(d), do the following: (i) Write a set expression for the event. (Note that there are multiple ways to write this in many cases.) (ii) Evaluate the probability of the event. Hint: Draw the Venn Diagram. You may then want to identify the probabilities of each of the disjoint regions in the diagram before starting...
I need answer for example 1 . the probabilities of occurrence of these events are, respectively, p and (1-p). Let X denotes the number of successes. Here X can take the values 0 or 1. X is said to have a Bernoulli distribution. Definition: random variables X is said to have a Bernoulli distribution and is referred to as a Bernoulli random variable, if and only if its probability distribution is given by P(X = x) = p4" for x...
1. Let (S;F;P) be a probability space with A 2 F and B 2 F such that P(A) = 0:3 and P(B) = 0:4. Find the following probabilities under the specified conditions. Note that I don’t expect you to have to show much work in answering this question. (a) either A or B occurs if A and B are mutually exclusive (b) either A or B occurs if A and B are statistically independent (c) either A or B occurs...
l. Suppose that A, B, and C are events such that PLA] = P[B] = 0.3, P[C] = 0.55, P[An B] = For each of the events given below in parts (a)-(d), do the following: (i) Write a set expression for the event. (Note that there are multiple ways to write this in many cases.) (ii) Evaluate the probability of the event. (Hint: Draw the Venn Diagram. You may then want to identify the probabilities of each of the disjoint...
Q3.2 Let (12, F,P) be a probability space. Decide whether each of the following statements hold. (i) 0 is independent of ), and N is independent of 12; (ii) If E is any event which is independent of itself, then either E = 0 or E = N; (iii) If E is any event which is independent of itself, then either P(E) = 0 or P(E) = 1; (iv) If events A and B are both disjoint and independent, then...
It is proposed to model the onset of hurricanes anywhere in the Gulf of Mexico as a Poisson process. The rate of occurrence, however, depends strongly on the month of the year. Specifically, we assume that hurricanes occur in only three months of the year: August, September, and October. During these months, the mean hurricane occurrence rate per month is as follows: Month Mean occurrence rate August 1.0 event per month September 2.0 events per month October 1.0 event per...
Q1) Consider two events P and Q. a. Write the general formula used to calculate the probability that either event P occurs or Q occurs or both occur. b. How does this formula change if: i. Events P and Q are disjoint (i.e., mutually exclusive of each other). ii. Events P and Q are nondisjoint events that are statistically independent of each other. iii. Events P and Q are nondisjoint events that are statistically dependent of each other. Q2) Rewrite...
1. Consider a statistical experiment E: (, F,P) and an event A . Note: A EF. a. Use the axioms of probability to show that P(A) 1-P(A). b. Repeat (a) using the definition of the σ-field. 2. Consider a statistical experiment E: (, F,P) in which a fair coin is flipped successively until the same face is observed on successive flips. Let A = {x: x = 3, 4, 5, . . .); that is, A is the event that...