Chapter 4 Flashcards

(17 cards)

1
Q

What is an experiment?

A

An activity or process that is infinitely repeatable yielding the same set of results every time (coin flip, dice roll, ect.)

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2
Q

What is an outcome?

A

The result of an experiment

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3
Q

What is the Sample Space?

A

The collection of all possible outcomes of an experiment

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4
Q

What is an event?

A

Any set of outcomes that are a subset of the sample space within an experiment

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5
Q

Definition of the fundamental principle of counting

A

In an experiment with k steps, the total number of outcomes is the number of choices to the power of the number of steps.

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6
Q

What are Permutations?
(do they account for order or not?)

A

The number of ways to arrange r objects from n objects.
Order IS accounted for, therefore, AB and BA are different entries. (every entry is unique)

EX: # Ways to arrange 5 teachers from a group of 8 teachers

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7
Q

What are combinations?
(do they account for order or not?)

A

The number of combinations of r objects taken from n distinct objects. Denoted by nCr.

Combinations DO NOT account for order, therefore, AB and BA are the same result.

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8
Q

How do we define the probability of an event?

A

The proportion of times an outcome occurs after repeating the experiment infinite times

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9
Q

What is theoretical probability?

A

It is another name for the probability of an event

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10
Q

What is empirical probability?

A

Finding the probability of an event, E, by repeating an experiment many times.

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11
Q

What is the law of large numbers?

A

The idea that by doing more repetitions of an experiment, the relative frequency of obtaining result E comes closer to the theoretical probability (More trials -> greater accuracy)

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12
Q

What does it mean if two outcomes are “mutually exclusive?” (What is another word for this?)

A

If those two outcomes cannot occur at the same time.
The two outcomes are DISJOINT.

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13
Q

Define the probability of complements.

A

The set of all possible outcomes that ARE NOT inside E.

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14
Q

What is conditional probability?

A

The probability that event B will occur given that event A has already.

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15
Q

Difference between the union and the intersection of two events

A

The union (E U F) refers to an event containing all outcomes in E, F or both

The intersection (E ∩ F) refers to an event that contains the outcomes ONLY in BOTH E and F

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16
Q

Why do we subtract the Intersect, P(E1 ∩ E2), from the Union, P(E1 ∪ E2), even though the intersect is INSIDE the union?

A

P(E1 ∪ E2) = P(E1) + P(E2) − P(E1 ∩ E2)

When we add each of the events (the circles), we account for the Intersection TWICE (once for each circle), so we have to subtract it afterwards.

17
Q

How do we know if two events are independent?

A

Their probabilities do not influence each other. In other words, the probability of one happening does not change even if the other occurs first in sequence.