AP Statistics / Mr. Hansen
12/14/2000

Name: _____________________

1.

"A variable whose value is a numerical outcome of a random phenomenon" is the definition of the central concept of Chapter 7, namely _________________ . Throughout our course, we will use the 2-letter abbreviation _________________ . When naming a _________________ , we tend to use a letter from (choose one)
(A) the beginning of the alphabet
(B) the middle of the alphabet
(C) the end of the alphabet

and, moreover, we usually use
(A) upper case
(B) lower case

2.

One exception to the naming convention mentioned in #1 is that the mean of a random sample is a _________________ that is denoted _________________ as usual. Another _________________ of interest, an exception to the naming rule, is the sample proportion of a random sample, which is denoted _________________ .

3.

A discrete _________________ is one in which the possible numeric outcomes are separated by gaps. Today I will teach you the "DOGS" rule: For a discrete _________________ , the outcomes are gap-separated.

4.

A continuous _________________ is one in which the possible outcomes cover one or more intervals of numbers (i.e., the values can "blur together"). Today I will teach you the "COIN" rule: For a continuous _________________ , the outcomes cover intervals of numbers.

5.

The probability distribution of a discrete _________________ is depicted with a stair-steppy diagram called a (choose one)

(A) probability histogram
(B) density curve

6.

The probability distribution of a continuous _________________ is depicted with a smooth figure called a _____________________ .

7.

Your textbook stresses (using italics) that all continuous probability distributions assign probability _________________ to every individual outcome. By this, the author means, for example, that P(a man’s height = 70.0 inches) = _________________ .

8.

Let Z = the height (in inches) of a randomly selected man. Z is an example of a _________________ . If men’s heights follow the N(70, 3) distribution, then state each of the following probabilities without using your calculator:

P(Z = 70) = _________________ . . . . . . . . . . P(67 < Z < 73) = _________________
P(Z £ 70) = _________________ . . . . . . . . . . P(67 £ Z £ 73) = _________________
P(Z < 70) = _________________ . . . . . . . . . . P(0 < Z < 200) = _________________