Question 1

Which of the following is NOT a property of a binomial experiment?

Accepted Answer

A)  The experiment consists of a sequence of n identical trials. 
B)  Each outcome can be referred to as a success or a failure. 
C)  The probabilities of the two outcomes can change from one trial to the next. 
D)  The trials are independent. 
A)  The experiment consists of a sequence of n identical trials. 
B)  Each outcome can be referred to as a success or a failure. 
C)  The probabilities of the two outcomes can change from one trial to the next. 
D)  The trials are independent.

Question 2

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

Accepted Answer

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 
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

Question 3

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

Accepted Answer

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 
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

Question 4

Four percent of the customers of a mortgage company default on their payments. A sample of five customers is selected. What is the probability that exactly two customers in the sample will default on their payments?

Accepted Answer

A)  .2592 
B)  .0142 
C)  .9588 
D)  .7408 
A)  .2592 
B)  .0142 
C)  .9588 
D)  .7408

Question 5

In the textile industry, a manufacturer is interested in the number of blemishes or flaws occurring in each 100 feet of material. The probability distribution that has the greatest chance of applying to this situation is the _____.

Accepted Answer

A)  normal distribution 
B)  binomial distribution 
C)  Poisson distribution 
D)  uniform distribution 
A)  normal distribution 
B)  binomial distribution 
C)  Poisson distribution 
D)  uniform distribution

Question 6

The function used to compute the probability of x successes in n trials, when the trials are dependent, is the _____.

Accepted Answer

A)  binomial probability function 
B)  Poisson probability function 
C)  hypergeometric probability function 
D)  exponential probability function 
A)  binomial probability function 
B)  Poisson probability function 
C)  hypergeometric probability function 
D)  exponential probability function

Question 7

The expected value of a discrete random variable _____.

Accepted Answer

A)  is the most likely or highest probability value for the random variable 
B)  will always be one of the values x can take on, although it may not be the highest probability value for the random variable 
C)  is the average value for the random variable over many repeats of the experiment 
D)  All of the answers are correct. 
A)  is the most likely or highest probability value for the random variable 
B)  will always be one of the values x can take on, although it may not be the highest probability value for the random variable 
C)  is the average value for the random variable over many repeats of the experiment 
D)  All of the answers are correct.

Question 8

The Poisson probability distribution is used with _____.

Accepted Answer

A)  a continuous random variable 
B)  a discrete random variable 
C)  either a continuous or discrete random variable 
D)  any random variable 
A)  a continuous random variable 
B)  a discrete random variable 
C)  either a continuous or discrete random variable 
D)  any random variable

Question 9

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

Accepted Answer

A)  f(x) ≥ 0 for all values of x 
B)  ∑f(x) = 1 
C)  ∑f(x) = 0 
D)  All of the answers are correct. 
A)  f(x) ≥ 0 for all values of x 
B)  ∑f(x) = 1 
C)  ∑f(x) = 0 
D)  All of the answers are correct.

Question 10

The Poisson probability distribution is a _____.

Accepted Answer

A)  continuous probability distribution 
B)  discrete probability distribution 
C)  uniform probability distribution 
D)  normal probability distribution 
A)  continuous probability distribution 
B)  discrete probability distribution 
C)  uniform probability distribution 
D)  normal probability distribution

Question 11

Excel's _____ function can be used to compute the expected value of a discrete random variable.

Accepted Answer

A)  SUMPRODUCT 
B)  AVERAGE 
C)  MEDIAN 
D)  VAR 
A)  SUMPRODUCT 
B)  AVERAGE 
C)  MEDIAN 
D)  VAR

Question 12

Excel's _____ function can be used to compute the variance of a discrete random variable.

Accepted Answer

A)  SUMPRODUCT 
B)  AVERAGE 
C)  MEDIAN 
D)  VAR 
A)  SUMPRODUCT 
B)  AVERAGE 
C)  MEDIAN 
D)  VAR

Question 13

A measure of the average value of a random variable is called a(n) _____.

Accepted Answer

A)  variance 
B)  standard deviation 
C)  expected value 
D)  None of the answers is correct. 
A)  variance 
B)  standard deviation 
C)  expected value 
D)  None of the answers is correct.

Question 14

When using Excel's BINOM.DIST function, one should choose TRUE for the fourth input if _____.

Accepted Answer

A)  a probability is desired 
B)  a cumulative probability is desired 
C)  the expected value is desired 
D)  the correct answer is desired 
A)  a probability is desired 
B)  a cumulative probability is desired 
C)  the expected value is desired 
D)  the correct answer is desired

Question 15

A probability distribution showing the probability of x successes in n trials, where the probability of success does not change from trial to trial, is termed a _____.

Accepted Answer

A)  uniform probability distribution 
B)  binomial probability distribution 
C)  hypergeometric probability distribution 
D)  normal probability distribution 
A)  uniform probability distribution 
B)  binomial probability distribution 
C)  hypergeometric probability distribution 
D)  normal probability distribution

Question 16

Excel's POISSON.DIST function has how many inputs?

Accepted Answer

A)  2 
B)  3 
C)  4 
D)  5 
A)  2 
B)  3 
C)  4 
D)  5

Question 17

The binomial probability distribution is used with _____.

Accepted Answer

A)  a continuous random variable 
B)  a discrete random variable 
C)  any distribution, as long as it is not normal 
D)  All of the answers are correct. 
A)  a continuous random variable 
B)  a discrete random variable 
C)  any distribution, as long as it is not normal 
D)  All of the answers are correct.

Question 18

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

Accepted Answer

A)  descriptive statistic 
B)  probability function 
C)  variance 
D)  random variable 
A)  descriptive statistic 
B)  probability function 
C)  variance 
D)  random variable

Question 19

When using Excel's POISSON.DIST function, one should choose TRUE for the third input if _____.

Accepted Answer

A)  a probability is desired 
B)  a cumulative probability is desired 
C)  the expected value is desired 
D)  the correct answer is desired 
A)  a probability is desired 
B)  a cumulative probability is desired 
C)  the expected value is desired 
D)  the correct answer is desired

Question 20

An example of a bivariate experiment is _____.

Accepted Answer

A)  tossing a coin once 
B)  rolling a pair of dice 
C)  winning or losing a football game 
D)  passing or failing a course 
A)  tossing a coin once 
B)  rolling a pair of dice 
C)  winning or losing a football game 
D)  passing or failing a course

Exam 5: Discrete Probability Distributions

Which of the following is NOT a property of a binomial experiment?

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

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

Four percent of the customers of a mortgage company default on their payments. A sample of five customers is selected. What is the probability that exactly two customers in the sample will default on their payments?

In the textile industry, a manufacturer is interested in the number of blemishes or flaws occurring in each 100 feet of material. The probability distribution that has the greatest chance of applying to this situation is the _____.

The function used to compute the probability of x successes in n trials, when the trials are dependent, is the _____.

The expected value of a discrete random variable _____.

The Poisson probability distribution is used with _____.

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

The Poisson probability distribution is a _____.

Excel's _____ function can be used to compute the expected value of a discrete random variable.

Excel's _____ function can be used to compute the variance of a discrete random variable.

A measure of the average value of a random variable is called a(n) _____.

When using Excel's BINOM.DIST function, one should choose TRUE for the fourth input if _____.

A probability distribution showing the probability of x successes in n trials, where the probability of success does not change from trial to trial, is termed a _____.

Excel's POISSON.DIST function has how many inputs?

The binomial probability distribution is used with _____.

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

When using Excel's POISSON.DIST function, one should choose TRUE for the third input if _____.

An example of a bivariate experiment is _____.

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit, Independence, and Multiple Proportions

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Decision Analysis

Sample Survey

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