Chapter 5 Flashcards

(11 cards)

1
Q

What is a random variable?

A

A variable whose values describe the outcome of an experiment

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2
Q

What is a discrete random variable?

A

A variable that takes on a list of values that are finite in size

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3
Q

What is a continuous random variable?

A

A variable that can take on any value over an interval (uncountable: infinite possible values)

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3
Q

What makes a variable discrete?

A

If the variable exists within set bounds (it is countable)

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4
Q

How can a variable be discrete, countable but also infinite?

A

EX: Tossing a coin infinitely
Let X = # Tails before heads

-> Discrete because the values are still countable, but infinite because the streak of tails can go on forever in theory

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5
Q

Example of a discrete finite variable

A

Rolling a die two times.
- Set number of outcomes (ranging from 2 to 12)

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6
Q

Examples of continuous variables

A

1) Weight in Kg: Can have any level of accuracy, therefore infinite possible values
2) WiFi download speed: Infinite possible decimals

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7
Q

What is a discrete probability distribution?
What are the criteria?

A

A function or table that assigns probabilities to the outcomes of a discrete random variable

1) P(x) >= 0 for all X (no outcomes can have a probability of 0)

2) ∑ P(x) = 1 (The probabilities must add up to one)

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8
Q

What is a binomial experiment?
(4 characteristics)

A

1) Consists of n independent AND identical trials
2) Two outcomes per trial (success or failure)
3) The probability of success, P, never changes between trials
4) The probability of failure is q where p +q = 1

Example: a coin toss (assigning success and failure to each side)

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9
Q

What is the expectation value?
What kind of variable does it apply?

A

The mean of a probability distribution.
Only applies to discrete random variables.

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10
Q
A
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