New probabilities that have been found using Bayes' theo- rem are called a. prior probabilities. b. posterior probabilities. c. Bayesian probabilities. d. joint probabilities.

b). posterior probabilities.

Step-by-step explanation:

Posterior Probabilities are described as the updated probabilities which are estimated employing the theorem proposed by Baye. According to his theorem, an association is developed between probability and the newly received information. When the previously existing probabilities are amalgamated with this updated information, it gives the existing probabilities' value a correction, update, or revision namely 'posterior probabilities.' Thus, it is the probability that asserts the truth of a hypothesis and hence, option b is the correct answer.

a) y = -3x +2

b) y = 1/2x -6

these 2 can be combined into one equation.

-3x +2 = .5x -6

8 = 3.5x

x = 8 / 3.5 = 2.2857142857

y = -3 * (8 / 3.5) +2

y = (-24 / 3.5) + 2

y = -4.8571428571

step-by-step explanation:

c > -10.55

step-by-step explanation: