Which of the following statements best describes the multiplication rule of probability?a.It states that the probability of two independent events occurring together is the product of their individual probabilities.b.It states that the probability of two mutually exclusive events occurring together is the sum of their individual probabilities.c.It states that the probability of two dependent events occurring together is the sum of their individual probabilities.d.It states that the probability of two exclusive events occurring together is the difference of their individual probabilities.

Which of the following statements are true? Mark all that apply.If A and B are independent events, then the probability of Event B occurring is the same whether or not Event A occurs.If events A and B are independent, then P(A and B) = P(A) + P(B)If P(A) is the probability that event A will occur, then the probability event A will NOT occur is 1 - P(A).Two events are independent if they cannot occur at the same time.If events A and B are overlapping, then P(A or B) = P(A) + P(B) - P(A and B)

What does the multiplication rule for independent events tell us?

What are independent events. State the multiplication law for two events.

To determine the probability of two or more independent events occurring together, you:Group of answer choicesadd their individual probabilities (i.e., ½ + ½ = 1).multiply the probabilities of each event happening separately (i.e., ½ x ½ = ¼).Next

Events A and B are mutually exclusive. Suppose event A occurs with probability 0.28 and event B occurs with probability 0.5.Compute the following.(If necessary, consult a list of formulas.)(a) Compute the probability that B occurs or A does not occur (or both).(b) Compute the probability that either B occurs without A occurring or A and B both occur.