Module 5 - Discrete Distributions Flashcards

1
Q

Define random variable?

A

A function that assigns a numerical value to each simple event in a sample space.

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2
Q

What is a random variable that can assume only a countable number of values (finite or infinite)?

A

Discrete random variable

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3
Q

What is a random variable that can assume an uncountable number of values?

A

Continuous random variable

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4
Q

Define expected values?

A

The sum of all possible values a random variable can take times the corresponding probabilities

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5
Q

Define variance?

A

it measures how far a set of numbers are spread out from their average value.

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6
Q

Define standard deviation?

A

The standard deviation is a statistic that measures the dispersion of a dataset relative to its mean

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7
Q

Define bivariate distributions?

A

Joint probability distribution of two variables

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8
Q

What is the objective of decision analysis?

A

to select the optimal act from a list of alternative acts.

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9
Q

What are the 3 formats for presenting decision anlysis?

A

Payoff Table
Opportunity Loss Table
Decision Tree

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10
Q

Define alternative acts?

A

Possible choices of a decision maker.

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11
Q

What is EMV?

A

Expected monetary value

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12
Q

What is EOL?

A

Expected opportunity loss

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13
Q

What is EVPI?

A

Expected value of perfect information

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14
Q

Define a decision tree?

A

a graphical representation of decision problem

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