Chapter 4

If A and B are __, P(A and B) = P(A)P(B).

The ___ of a random phenomenon is the set of all possible outcomes.

Two events A and B are ___ if knowing that one occurs does not change the probability that the other occurs

A ____ takes a fixed set of possible values with gaps between

When two random variables are not independent, the variance between the two random variables depends on the _____.

The probability that one event happens given that another event is already known to have happened is called a

If A and B are ___, P(A or B) = P(A) + P(B).

If X and Y are independent random variables, then σ2X-Y = σ2X - σ2Y

The number of hours of sleep you had last night is an example of a ______ random variable

A ___ model assigns probabilities as areas under a density curve.

A numerical variable that describes the outcomes of a chance process is called a

Let A be the event that the penny is a head and B be the event that the nickel is a tail. The events A and B are

A ___ takes on all values in an interval of numbers.

The variance of any fixed number a is ______.

The value of a statistic varies in repeated random sampling is sampling variability

The ___ of a random variable gives its possible values and their probabilities.

The amount of time it takes you to complete an exam in a statistics course is an example of a _______ random variable.

A ___ describes the possible outcomes of a chance process and the likelihood that those outcomes will occur.

What is the general multiplication rule?

If X and Y are independent random variables, then σ2X+Y = σ2X + σ2Y,