Question

Directions: 1) Show all working tc tain full credit for question number 8 and 9 2 Your answer should be correct to 2 decimal places. Therefore, don't round off answers in each step. Dependent events influence the outcome of each other. 1. A. True B. False A conditional probability exists when the probability of one event is dependent on anotl 2. A. True B. False Probabilities can range from -1 to 1. A. True B. False The binomial distribution can only be used when the probabilities of the two po outcomes are equal. .True B. False

Answer 1

I A. Tene Dependent events: Two events are dependent outcome of the fiest event influences the outcome of the second event. The probability of two dependent events is the product of the probability of x and the probability of AFTER X occurs. P(x and y) = P(x). Ply after x.

2. False B. Conditional probability can occur with two independent events also. For example, pulling out an ace feom a deck of cards and a green maeble out of a bag of red and green maibles. These two events are independent of one another. P(A/B) means that the probability of a given B, meaning What's the probability of A if Event B also happens.

3. B. False. Probabilities range from oto I and they can also be Expressed as percentages ranging from ox. to 1007 A Probability of o indicates that there is no chance that a particular Event will occur whereas a probability of indicates that an event is to occur. certain

4. A. Tune The binomial disteibution is a probability disteibution that summarizes the likelihood that a value will take one of two independent values under a given set of parameters or assumptions For example Number of students that passed on failed in a college. Here the pass implies. success and fail implies failure.