Unit 1 Flashcards

1
Q

Conditional Probability

A

P(B|A) = “the probability of B, given A”

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2
Q

Expected Value

A

(amount 1)(prob 1)+(amount 2)(prob 2)+etc..

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3
Q

Multiplication Rule

A

The probability that 2 events will occur in sequence is
- P(A)•P(B|A)

For independent events it is
- P(A)•P(B)

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4
Q

Observational Study

A

Gather data by watching or looking at records of what’s already happened. No influence or manipulation.

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5
Q

Sample Survey

A

Used to take information from a small group and meant to represent the entire population. Can bias easily.

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6
Q

Finding Probability

A

P(E)=

 number of outcomes in event E \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_

number of outcomes in sample space

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7
Q

Complementary Events

A

Outcomes that are not included in Event E

E’

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8
Q

Range of Probabilities Rule

A

0

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9
Q

Experiment

A

To change a variable within a controlled environment and measure the changes.

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10
Q

Permutations

A

nPr

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11
Q

Census

A

Measurements are taken from the entire population. Least popular. Key words: whole, everyone, entire.

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12
Q

Mutually Exclusive

A

P(A or B)= P(A)+P(B)

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13
Q

Outcome

A

The result of a single trial in a probability experiment.

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14
Q

Event

A

Consists of one or more outcomes and is a subset of the sample space.

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15
Q

Sample Space

A

The set of all possible outcomes of a probability experiment.

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16
Q

Non-Mutually Exclusive

A

P(A or B)= P(A)+P(B)–P(A and B)

17
Q

Combinations

A

nCr

18
Q

Randomization

A

Something is random if there is a equal chance of being chosen, and people are chosen without regard to characteristics. If not, results are biased.

19
Q

Data Collection

A

To make general conclusions about a populations based on a sample.

20
Q

Probability Distributions

A

0

21
Q

Probability Experiment

A

An action, or trial, through which specific results are obtained.