Test 2 Review

A numerical description of the outcome of an experiment is called a _____

• descriptive statistic

• probability function

• variance

• random variable

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CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.2

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

• infinite sequence

• finite sequence

• discrete random variable

• discrete probability function

Tags

CCSS.HSS.MD.A.3

A continuous random variable may assume _____.

• any value in an interval

• an integer value in an interval

• a fraction in an interval

• a positive integer value in an interval

Tags

CCSS.HSS.MD.A.1

The number of people who came to class today is an example of

• a continuous random variable

• a discrete random variable

• continuous or discrete depending on the number

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.1

Your height, measured to the nearest half inch, is an example of ______

• a continuous random variable

• a discrete random variable

• continuous or discrete depending on the units

Tags

CCSS.HSS.MD.A.1

Which one of these variables is a continuous random variable?

• The time it takes a randomly selected student to complete an exam.
• The number of tattoos a randomly selected person has.
• The number of women taller than 68 inches in a random sample of 5 women. 
• The number of correct guesses on a multiple choice test. 

Which of the following is NOT a required condition for a discrete probability function?

• f(x) ≥ 0 for all values of

• ∑f(x) = 1

• ∑f(x) = 0

• There are no required conditions for a discrete probability function.

In a binomial experiment, the _____.

• probability of success does not change from trial to trial

• probability of success does change from trial to trial

• probability of success could change from trial to trial, depending on the situation under consideration

• probability of success is always the same as the probability of failure

Which of the following is NOT a characteristic of an experiment where the binomial probability distribution is applicable?

• The experiment has a sequence of n identical trials.

• Exactly two outcomes are possible on each trial.

• The trials are dependent.

• The probabilities of the outcomes do not change from one trial to another.

Tags

CCSS.HSS.CP.A.2

CCSS.HSS.CP.A.3

The binomial probability distribution is used with _____.

• a continuous random variable

• a discrete random variable

• any distribution, as long as it is not bell shaped

• any random variable

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.1