1.5 Independent and Dependent Events. Flipping a Coin.

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1.5 Independent and Dependent Events

Transcript of 1.5 Independent and Dependent Events. Flipping a Coin.

Page 1: 1.5 Independent and Dependent Events. Flipping a Coin.

1.5 Independent and Dependent Events

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Flipping a Coin

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Independent Event

Situations in which the occurrence or non-occurrence of one event has no influence on the probability of the other event occurring.

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2 Aces in here

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Dependent Events

The occurrence or non-occurrence of one event influences the probability of the other event occurring.

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Independent or Dependent

Richards has a container with 5 people names in it. The first name he draws out gets first prize. The second name he draws out get second price.

Are these dependent or independent events?

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Pencils Olivia has four highlighting pens in her pencil case:

two yellow, one orange, and one blue. She reaches into her pencil case and randomly chooses a highlighter. After she uses it, she immediately replaces it in the case so it can be used again. What is the probability that she will choose:

Two yellow highlighters?

A yellow highlighter followed by a blue highlighter?

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Finding Probabilities of Compound Events

Answer the same questions from last slide using another method.

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Multiplicative Principle for Independent Events

AKA Fundamental Counting Principle

The probability of two independent events, A and B, occurring is:

Key word here is “AND”……. Prob of A AND B

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My New Game Is my Game Fair?

Player A wins a point if a spinner lands on red AND an even number is rolled

Player B wins a point if the spinner lands on yellow or green and a composite number is rolled.

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Drawing Cards What is the probability of a King?

Two Aces and Two Kings are in my hand.

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Conditional Probability Probability of a second event occurring given that the first event

occurred.

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Multiplicative Principle for Dependent Events

For Dependent Events, The probability of each outcome can change “depending” and previous outcome.

Probability of (A and B) = P(A) x Prob(B Given A)

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Those Dang Telemarketers How Much did the Telemarketer sell in 1000 calls?

The experiment probability of a call receiver staying on the line for at least a minute was 16%

The conditional probability of a call resulting in a sale, given that they receiver stayed on the line for more than a minute was 10%

No sales were made if the call hung up right away.

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Assignment

Page 53 #’s 1-5, 7,11