A consulting firm submitted a bid for a large research project. The firm's management initially felt there was a 60/40 chance of getting the bid. However, the agency to which the bid was submitted subsequently requested additional information on the bid. Experience indicates that on 70% of the successful bids and 35% of the unsuccessful bids the agency requested additional information. If required, round your answers to two decimal places. a. What is the prior probability that the bid will be successful (i. e., prior to receiving the request for additional information)b. What is the conditional probability of a request for additional information given that the bid will ultimately be successful?c. Compute the posterior probability that the bid will be successful given a request for additional information.

Step-by-step explanation:

Given Probability that bid will be unsuccessful = 0.35

a) What is the prior probability that the bid will be successful ;

= 1 - P(unsuccessful) = 1 - 0.35

= 0.65

b) What is the conditional probability of a request for additional information given that the bid will ultimately be successful = 0.70

c) Compute the posterior probability that the bid will be successful given a request for additional information ; Applying Baye's theorem ;

P(S|AI) = P(S) X P(AI|S) / P(S) X P(AI|S) + P(Unsuccessful) x P(AI|S)

= 0.65 X 0.70 / 0.65 X 0.70 + 0.35 X 0.35

= 0.6125

problem:

f(x) = - 2/3x + 5; f(5/2)

substitute 5/2 in for x:

f(5/2) = -2/3(5/2) + 5

simplify the right side:

f(5/2) = -5/3 + 5

f(5/2) = 10/3

f(5/2) = 10/3

i hope this !

the least value out of the data shown is 5, maybe if you post a picture with it i could a little more.

step-by-step explanation: