Chapter 2 (Random Variables without 2.6) Flashcards

1
Q

What does a random variable do?

A

It assigns a numerical value to each outcome of an experiment.

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2
Q

What is a discrete random variable?

A

A random variable that has a countable number of outcomes.

ie between any two outcomes there is a gap. Countable does not necessarily mean finite!

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3
Q

What is a continuous random variable?

A

It takes on values defined by an interval or intervals. The outcomes cannot be counted.
(I.e. If the outcomes are measurements, they can also be measured more precisely.)

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4
Q

What is the distribution of a random variable?

A

The set of all possible values of the random variable and their associated probabilities

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5
Q

What is a probability mass function (pmf)? How do we display it?

A

The way we describe the distribution of a discrete random variable.

Usually done with a table but can be done in a graph.

X______|___________
P(X=x)_|___________

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6
Q

The rules for the pmf are…

A

The same rules for normal probability.
0 ≤ P(A) ≤ 1, where A is an event.
P(Ω) = 1, or all the events added together = 1.

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7
Q

What is the cumulative distribution function of a discrete random variable? (cdf)

A

The cdf of the discrete random variable X is a function of the form F(x) = P(X ≤ x)

__x____|________
P(X=LTx)_|_______

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8
Q

What does pmf short for?

When is it used?

A

probability mass function.

Used for discrete random variables.

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9
Q

What is cdf short for?

What does it do?

A

cumulative distribution function.

Sums up the probabilities of random variables ≤ a specified value.

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10
Q

What is the expected value of a random variable X?

How is it denoted?

A

E(X). It is the mean of the distribution of X.

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11
Q

What is the variance of a random variable X?

How is it denoted?

A

Var(X). It measures the variability in the values taken on by the random variable.

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12
Q

What formula can we use to find Var(X)?

A

Var(X) = E(X^2) - [E(X)]^2

Also denoted sigma^2.

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13
Q

What is the standard deviation of a random variable X? How is it denoted?

A

It is the positive square root of the variance, and is therefore denoted with sigma.

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14
Q

What is a probability density function (pdf)?

How do we display it?

A

the distribution of a continuous random variable.

It is usually displayed in function notation.

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15
Q

What is pdf short for?

A

Probability density function

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16
Q

What are the two properties of pdf-s?

A
  1. f(x) GT= 0

2. The integral from a to b of f(x)dx= 1

17
Q

What does a random variable do?

A

Maps the experimental outcomes to the real numbers.

It’s a function!

18
Q

What can we use a pdf for?

A

To find the probability that C lies in an interval (ex: a ≤ X ≤ b)