Chapter 13 & 14 Flashcards

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1
Q

Process of obtaining an outcome.

A

Trail

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2
Q

The individual possibility that occurs on each trial.

A

Outcome.

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3
Q

Specific collection of outcomes.

A

Event.

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4
Q

Collection of all possible outcomes.

A

Sample Space.

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5
Q

What is a Probability?

A

Numerical measure of likelihood that an outcome or event will occur. P(A). Lies Between 0 & 1. Sum of Probabilities is 1.

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6
Q

What are the 3 methods of assigning event probabilities?

A
  1. a priori (Classical Method). 2. Relative Frequency Method. 3. Personal Probability Method.
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7
Q

A priori meaning.

A

Knowledge is obtained by analyzing concepts independent of experience. Ex. All bachelors are unmarried, mathematics. These can be derive by reason alone.

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8
Q

A posteriori meaning.

A

Knowledge is obtained through experience. Athletics.

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9
Q

Which method uses prior knowledge of the process, done before the experiment, and P(Event) = X / T; S is the number of event outcomes and T is the number of outcomes equally likely.

A

A priori, classical method.

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10
Q

Which method collects actual data, the probability is determined after the trail, and P(Event) = X / T; X is repeated number of times of the trail and X is the number of times the event is observed.

A

Relative Frequency Method.

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11
Q

This assures the relative frequency method.

A

The Law of Large Numbers.

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12
Q

Two or more events happening at the same time.

A

Compound events.

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13
Q

Numerical measure of likelihood that compound event (two or more events) will occur.

A

Compound event probability.

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14
Q

These three formula methods are used to determine compound event probability but simplify when considering disjoint and independent events.

A

Addition Rule, Conditional Probability Formula, and Multiplication Rule.

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15
Q

When is the addition rule used and what is the formula?

A

It is used to get compound probabilities for union of events and/or not knowing if A & B are disjoint.

P(A or B) = P(A) + P(B) - P(A U B).

For Disjoint Events, then P(A or B) = P(A) + P(B).

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16
Q

What type of probability is P(A|B) and what is the formula to solve?

A

P(A|B) is a conditional probability and is read as, the probability of A given B.

The liklihood of A occuring given that B occurs.

P(A|B) = P(A and B) / P(B).

P(B|A) = P(B and A) / P(A).

17
Q

Statistical Independence.

A

Event occurrence does NOT affect probabiliry of another event.

Causality not implied.

18
Q

What are the test for independence?

A

P(A|B) = P(A)

P(B|A) = P(B)

P(A and B) = P(A)*P(B).

19
Q

When is the mulitplication rule used and what is the formula?

A

It is used to get compund probabilities for Intersection of events.

P(A and B) = P(A)* P(B|A) = P(B)*P(A|B).

For independent events, P(A and B) = P(A)*P(B).

20
Q

Complement Rule.

A

Complement of Event

For Event A, All Events Not In A: Ac

P(A) = #, P(Ac) = 1 - P(A).