Question 1

Which of the following is true of the triangular distribution?

Accepted Answer

A) The expected value of the triangular distribution is given by (a + b)/2. 
B) The triangular distribution is a bounded distribution. 
C) The triangular distribution has only one parameter λ. 
D) All the outcomes in the distribution have the same chance of occurrence. 
A) The expected value of the triangular distribution is given by (a + b)/2. 
B) The triangular distribution is a bounded distribution. 
C) The triangular distribution has only one parameter λ. 
D) All the outcomes in the distribution have the same chance of occurrence.

Question 2

What is the probability of flipping a quarter and a nickel and getting heads on both coins or getting tails on both coins?

Accepted Answer

A)    
B)    
C)    
D) 1 
A)    
B)    
C)    
D) 1

Question 3

What is the likelihood of finding a price of $3.85 or more for a gallon of gasoline from a normally distributed population of gas prices? Assume μ = $3.78 and σ = $0.05.

Accepted Answer

A) 0.0808 
B) 0.4192 
C) 0.3508 
D) 0.1492 
A) 0.0808 
B) 0.4192 
C) 0.3508 
D) 0.1492

Question 4

A binomial distribution models several independent replications of a ________.

Accepted Answer

A) probability density function 
B) Bernoulli experiment 
C) continuous distribution 
D) Poisson experiment 
A) probability density function 
B) Bernoulli experiment 
C) continuous distribution 
D) Poisson experiment

Question 5

What is the difference between a mutually exclusive event and an independent event?

Accepted Answer

Two events are mutually exclusive if the

Question 6

The probability of Barack hitting a homerun is one chance in fifty.What is the probability that he will not hit a homerun?

Accepted Answer

A) 98% 
B)    
C) 49% 
D) unknown since the events are mutually exclusive 
A) 98% 
B)    
C) 49% 
D) unknown since the events are mutually exclusive

Question 7

For a uniform distribution,the area under the density function is equal to one.

Accepted Answer

A) True 
 B)False

Question 8

The normal continuous probability distribution is characterized by two parameters,________.

Accepted Answer

A) the mean,μ,and the median 
B) the median and the standard deviation,σ 
C) the mean,μ,and the variance,σ2 
D) the mode and the range 
A) the mean,μ,and the median 
B) the median and the standard deviation,σ 
C) the mean,μ,and the variance,σ2 
D) the mode and the range

Question 9

What is the probability of flipping a quarter three times and getting tails all three times?

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)

Question 10

Identify and compare the three perspectives that can be used to define probability.

Accepted Answer

The three perspectives that can be used

Question 11

Since there are seven days in a week,there is a 14% chance that a meeting will be held on a Monday.This is an application of the ________ definition of probability.

Accepted Answer

A) relative frequency 
B) classical 
C) subjective 
D) conditional 
A) relative frequency 
B) classical 
C) subjective 
D) conditional

Question 12

According to the classical definition of probability,probabilities can be deduced from theoretical arguments if the process that generates outcomes is known.

Accepted Answer

A) True 
 B)False

Question 13

A joint probability distribution for discrete random variables X and Y is denoted by ________.

Accepted Answer

A) P(Xi,Yi)= Xi × Yi 
B) P(X = x,Y = y)= f(x,y) 
C) P(X > Y)= f(x,y) 
D) P(j(x),j(y)) 
A) P(Xi,Yi)= Xi × Yi 
B) P(X = x,Y = y)= f(x,y) 
C) P(X > Y)= f(x,y) 
D) P(j(x),j(y))

Question 14

A probability distribution that specifies the probabilities of outcomes of two different variables that occur at the same time is called a simultaneous probability distribution.

Accepted Answer

A) True 
 B)False

Question 15

At the Simple Sub Shop,there are five types of sandwiches and three different beverages.Lunch Special A consists of a club sandwich and a cola.What is the probability that someone would choose a sandwich and a beverage at random and end up with Lunch Special A?

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)

Question 16

A continuous random variable defined over one or more intervals of real numbers can have ________.

Accepted Answer

A) a fixed number of possible outcomes 
B) values that are between 0 and 1 only 
C) an infinite number of possible outcomes 
D) values that have no physical or natural meaning 
A) a fixed number of possible outcomes 
B) values that are between 0 and 1 only 
C) an infinite number of possible outcomes 
D) values that have no physical or natural meaning

Question 17

At a particular toll booth,20% of vehicles use transponders while the rest have their license plates scanned.Usually,150 vehicles pass this toll booth during any one hour time period.During the next hour,what is the probability that 20 or less vehicles will pass through using a transponder?

Accepted Answer

A) 1.34% 
B) 0.08% 
C) 3.53% 
D) 98.65% 
A) 1.34% 
B) 0.08% 
C) 3.53% 
D) 98.65%

Question 18

A statement made by experts on a TV show that the Michigan Tech Huskies men's hockey team has one chance in four of winning the NCAA Frozen Four in 2014 is an example of ________.

Accepted Answer

A) subjective probability 
B) relative frequency probability 
C) classical probability 
D) conditional probability 
A) subjective probability 
B) relative frequency probability 
C) classical probability 
D) conditional probability

Question 19

In probability theory,what is the outcome of an experiment?

Accepted Answer

A) the absolute values of all samples 
B) the collection of all possible experiments 
C) a theoretical result 
D) the result that is observed 
A) the absolute values of all samples 
B) the collection of all possible experiments 
C) a theoretical result 
D) the result that is observed

Question 20

The standard normal distribution is a special case of the normal distribution in which ________.

Accepted Answer

A) the mean = 0 and the variance = 0 
B) the mean = 1 and the variance = 1 
C) the mean = 1 and the variance = 0 
D) the mean = 0 and the variance = 1 
A) the mean = 0 and the variance = 0 
B) the mean = 1 and the variance = 1 
C) the mean = 1 and the variance = 0 
D) the mean = 0 and the variance = 1

Which of the following is true of the triangular distribution?

What is the probability of flipping a quarter and a nickel and getting heads on both coins or getting tails on both coins?

What is the likelihood of finding a price of $3.85 or more for a gallon of gasoline from a normally distributed population of gas prices? Assume μ = $3.78 and σ = $0.05.

A binomial distribution models several independent replications of a ________.

What is the difference between a mutually exclusive event and an independent event?

The probability of Barack hitting a homerun is one chance in fifty.What is the probability that he will not hit a homerun?

For a uniform distribution,the area under the density function is equal to one.

The normal continuous probability distribution is characterized by two parameters,________.

What is the probability of flipping a quarter three times and getting tails all three times?

Identify and compare the three perspectives that can be used to define probability.

Since there are seven days in a week,there is a 14% chance that a meeting will be held on a Monday.This is an application of the ________ definition of probability.

According to the classical definition of probability,probabilities can be deduced from theoretical arguments if the process that generates outcomes is known.

A joint probability distribution for discrete random variables X and Y is denoted by ________.

A probability distribution that specifies the probabilities of outcomes of two different variables that occur at the same time is called a simultaneous probability distribution.

At the Simple Sub Shop,there are five types of sandwiches and three different beverages.Lunch Special A consists of a club sandwich and a cola.What is the probability that someone would choose a sandwich and a beverage at random and end up with Lunch Special A?

A continuous random variable defined over one or more intervals of real numbers can have ________.

At a particular toll booth,20% of vehicles use transponders while the rest have their license plates scanned.Usually,150 vehicles pass this toll booth during any one hour time period.During the next hour,what is the probability that 20 or less vehicles will pass through using a transponder?

A statement made by experts on a TV show that the Michigan Tech Huskies men's hockey team has one chance in four of winning the NCAA Frozen Four in 2014 is an example of ________.

In probability theory,what is the outcome of an experiment?

The standard normal distribution is a special case of the normal distribution in which ________.

Data and Business Decisions

Descriptive Statistics and Data Analysis

Sampling and Estimation

Hypothesis Testing and Statistical Inference

Regression Analysis

Forecasting

Introduction to Statistical Quality Control

Building and Using Decision Models

Decision Models With Uncertainty and Risk

Decisions, uncertainty, and Risk

Queues and Process Simulation Modeling

Linear Optimization

Integer, nonlinear, and Advanced Optimization Methods

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Exam 3: Probability Concepts and Distributions

Which of the following is true of the triangular distribution?

What is the probability of flipping a quarter and a nickel and getting heads on both coins or getting tails on both coins?

What is the likelihood of finding a price of $3.85 or more for a gallon of gasoline from a normally distributed population of gas prices? Assume μ = $3.78 and σ = $0.05.

A binomial distribution models several independent replications of a ________.

What is the difference between a mutually exclusive event and an independent event?

The probability of Barack hitting a homerun is one chance in fifty.What is the probability that he will not hit a homerun?

For a uniform distribution,the area under the density function is equal to one.

The normal continuous probability distribution is characterized by two parameters,________.

What is the probability of flipping a quarter three times and getting tails all three times?

Identify and compare the three perspectives that can be used to define probability.

Since there are seven days in a week,there is a 14% chance that a meeting will be held on a Monday.This is an application of the ________ definition of probability.

According to the classical definition of probability,probabilities can be deduced from theoretical arguments if the process that generates outcomes is known.

A joint probability distribution for discrete random variables X and Y is denoted by ________.

A probability distribution that specifies the probabilities of outcomes of two different variables that occur at the same time is called a simultaneous probability distribution.

At the Simple Sub Shop,there are five types of sandwiches and three different beverages.Lunch Special A consists of a club sandwich and a cola.What is the probability that someone would choose a sandwich and a beverage at random and end up with Lunch Special A?

A continuous random variable defined over one or more intervals of real numbers can have ________.

At a particular toll booth,20% of vehicles use transponders while the rest have their license plates scanned.Usually,150 vehicles pass this toll booth during any one hour time period.During the next hour,what is the probability that 20 or less vehicles will pass through using a transponder?

A statement made by experts on a TV show that the Michigan Tech Huskies men's hockey team has one chance in four of winning the NCAA Frozen Four in 2014 is an example of ________.

In probability theory,what is the outcome of an experiment?

The standard normal distribution is a special case of the normal distribution in which ________.

Data and Business Decisions

Descriptive Statistics and Data Analysis

Sampling and Estimation

Hypothesis Testing and Statistical Inference

Regression Analysis

Forecasting

Introduction to Statistical Quality Control

Building and Using Decision Models

Decision Models With Uncertainty and Risk

Decisions, uncertainty, and Risk

Queues and Process Simulation Modeling

Linear Optimization

Integer, nonlinear, and Advanced Optimization Methods

Filters