The Multiplication Rule (4.2.3)

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Presentation transcript:

The Multiplication Rule (4.2.3) March 8th, 2017

Vocabulary ***Recall: If two events are independent, then the outcome of one event does not affect the probability of the other event (like flipping a coin…the first flip doesn’t change the chance of getting “tails” on the second flip). Whereas dependent events do affect each other (like drawing two cards from a deck without replacement…getting a king on the first draw does affect the chance of getting a king on the second draw). *Compound probability is the probability of a compound event , or two simple events happening at the same time, which is the probability of event A and event B occurring simultaneously, or .

The multiplication Rule: *If two events are dependent, then the probability of both occurring at the same time is given by *If two events are independent, then the probability of both occurring at the same time is given by

Comparison of Probability Ex. 1: Find the probability of each and describe the probability as single event, compound independent events, or compound dependent events. Drawing a heart from a standard deck of 52 playing cards, then drawing another heart. Drawing a king from a standard deck of 52 playing cards. Drawing a heart from a standard deck of 52 playing cards, then replacing it, then drawing another heart. Drawing a heart from a standard deck of 52 playing cards, then replacing it, then drawing a king. Drawing a heart from a standard deck of 52 playing cards, then drawing a king.

Ex. 2: One day, the Math 2+ class decides to guess what Andrew will be wearing that day before he comes in. Assuming that Andrew has no fashion sense and he doesn’t care how his clothes match, we know his outfit will be chosen randomly. They know his entire wardrobe consists of the items in the table below. What is the probability that he will be wearing a white shirt, blue pants, and black shoes. Item Shirt Pants Shoes Color Black White Blue