AP Statistics Chapter 5 - Probability

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18 Terms

1

probability model

If S is the sample space in a(n) ________, P (S)= 1.

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2

Conditional Probability

________ and Independence Two events A and B are independent if the occurrence of one event does not change the probability that the other event will happen.

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3

Complement rule

________: P (AC)= 1- P (A) Addition rule for mutually exclusive events: If A and B are mutually exclusive, P (A or B)= P (A) + P (B)

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4

General Multiplication Rule

The ________ The probability that events A and B both occur can be found using the general multiplication rule.

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5

5.1

Randomness, Probability and Simulation Probability The probability of any outcome of a chance process is a number between 0 and 1 that describes the proportion of times the outcome would occur in a very long series of repetitions

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6

Performing of a Simulation

The 4-Step Process 1

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7

State

Ask a question of interest about some chance process

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8

Plan

Describe how to use a chance device to imitate one repetition of the process

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9

Do

Perform many repetitions of the simulation

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10

Conclude

Use the results of your simulation to answer the question of interest

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11

5.2

Probability Rules Sample Space The sample space S of a chance process is the set of all possible outcomes

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12

For example

When a fair 6-sided die is rolled, the Sample Space is S = {1, 2, 3, ,4,5, 6}

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13

For example

For the probability model above we might define event A = die roll is odd

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14

Also be familiar with the notation

𝑷(𝑨 ∪ 𝑩)

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15

Alternate notation

𝑷(𝑨 ∩ 𝑩)

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16

For example

Using a deck of playing cards and drawing a card at random, the events A = card is a King, and B = card is a Queen are mutually exclusive because a single card cannot be both a King and a Queen

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17

General Addition Rule If A and B are any two events resulting from some chance process, then P(A or B) = P(A) + P(B)

P(A and B) Venn Diagrams and Probability The complement Ac contains exactly the outcomes that are not in A

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18

5.3

Conditional Probability and Independence Conditional Probability The probability that one event happens given that another event is already known to have happened is called a conditional probability

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