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Question :
MULTIPLE CHOICE
1.A numerical description of the outcome of an experiment : 1329666

**MULTIPLE CHOICE**

1.A numerical description of the outcome of an experiment is called a

a.descriptive statistic

b.probability function

c.variance

d.random variable

2.A random variable that can assume only a finite number of values is referred to as a(n)

a.infinite sequence

b.finite sequence

c.discrete random variable

d.discrete probability function

3.A continuous random variable may assume

a.any value in an interval or collection of intervals

b.only integer values in an interval or collection of intervals

c.only fractional values in an interval or collection of intervals

d.only the positive integer values in an interval

4.An experiment consists of making 80 telephone calls in order to sell a particular insurance policy. The random variable in this experiment is the number of sales made. This random variable is a

a.discrete random variable

b.continuous random variable

c.complex random variable

d.None of the answers is correct.

5.The number of customers that enter a store during one day is an example of

a.a continuous random variable

b.a discrete random variable

c.either a continuous or a discrete random variable, depending on the number of the customers

d.either a continuous or a discrete random variable, depending on the gender of the customers

6.An experiment consists of measuring the speed of automobiles on a highway by the use of radar equipment. The random variable in this experiment is speed, measured in miles per hour. This random variable is a

a.discrete random variable

b.continuous random variable

c.complex random variable

d.None of the answers is correct.

7.The weight of an object, measured in grams, is an example of

a.a continuous random variable

b.a discrete random variable

c.either a continuous or a discrete random variable, depending on the weight of the object

d.either a continuous or a discrete random variable depending on the units of measurement

8.The weight of an object, measured to the nearest gram, is an example of

a.a continuous random variable

b.a discrete random variable

c.either a continuous or a discrete random variable, depending on the weight of the object

d.either a continuous or a discrete random variable depending on the units of measurement

9.A description of how the probabilities are distributed over the values the random variable can assume is called a

a.probability distribution

b.probability function

c.random variable

d.expected value

10.Which of the following is(are) required condition(s) for a discrete probability function?

a.?f(*x*) ? 0

b.f(*x*) ? 1 for all values of *x*

c.f(*x*) ? 0

d.None of the answers is correct.