Probability Concepts and Events

two events are mutually exclusive if:

• they both CANNOT happen at the same time

• they both CAN happen at the same time

• they never happen

• they always happen

A fair die is rolled once. In simplest form, what is the probability that it lands on an odd number?

• 1/3

• 3/6

• 1/2

• 1/6

A probability distribution table must always add up to exactly 1

• True
• False

What's an example of a dependent event? Assume there is more than one trial for each of the answers

• drawing a card from a deck of cards, putting it back and drawing another card

• flipping a coin

• randomly picking a skittle from a bag, eating it, then picking another skittle from the bag

• rolling a fair die

A bag has 3 red marbles, 2 blue, and 4 yellow. In simplest form, what is the probability of pulling a red marble?

• 1/3

• 3/9

• 2/9

• 1/2

What are the 3 probability distribution rules? Select all that apply.

• each of the outcomes listed must be disjoint (can't happen at the same time)

• outcomes can overlap sometimes

• each probability must be a value between 0 and 1

• the probabilities can go over 1 because there are exceptions

• all probabilities must add up to exactly 1

A bag has 40 candies in it with 13 cherry, 7 orange, 12 grape, and 8 blueberry. What is the probability pf picking a blueberry?

• 8/40

• 13/40

• 7/40

• 12/40

The set of all possible outcomes

• event

• trial

• sample space

• probability

a number from 0 to 1 that measures the likelihood that an event will occur

• experiment

• event

• outcomes

• probability

When do we use the multiplication rule?

• finding the probability that event a OR event b occurs

• finding the probability that event a AND event occurs

• finding the probability that event a occurs GIVEN event b