Question 1

A probability density function is a mathematical way of describing Bayes' theorem.

Accepted Answer

A) True 
 B)False

Question 2

The time required to travel downtown at 10 a.m.on Monday morning is known to be normally distributed with a mean of 40 minutes and a standard deviation of 5 minutes.What is the probability that it will take less than 40 minutes?

Accepted Answer

A) 0.50 
B) 0.20 
C) 0.80 
D) 1.00 
E) None of the above 
A) 0.50 
B) 0.20 
C) 0.80 
D) 1.00 
E) None of the above

Question 3

Subjective probability assessments depend on

Accepted Answer

A) the total number of trials. 
B) the relative frequency of occurrence. 
C) the number of occurrences of the event. 
D) experience and judgment. 
E) None of the above 
A) the total number of trials. 
B) the relative frequency of occurrence. 
C) the number of occurrences of the event. 
D) experience and judgment. 
E) None of the above

Question 4

If two events (A,B)are dependent,what is the conditional probability of P(A|B)?

Accepted Answer

The answer of If two events (A,B)are dependent,what is the...

Question 5

The probability of obtaining specific outcomes in a Bernoulli process is described by the binomial probability distribution.

Accepted Answer

A) True 
 B)False

Question 6

If two events (A,B)are mutually exclusive,what is the probability of event A or event B occurring?

Accepted Answer

P(A or B)=

Question 7

Colonel Motors (an automobile company)has prepared a marketing campaign for its best selling car.The focus of the campaign is quality,and it is claimed that 97 percent of the purchasers of this car have no complaints in the first year.You and your sister Kim have each purchased one of these cars.
(a)What is the probability that neither of you has a complaint about the car in the first year if the advertising claim is true?
(b)What is the probability that exactly one of you has a complaint about the car in the first year if the advertising claim is true?

Accepted Answer

(a)0.97(0.97)= 0.940

Question 8

Properties of the normal distribution include

Accepted Answer

A) a continuous bell-shaped distribution. 
B) a discrete probability distribution. 
C) the number of trials is known and is either 1,2,3,4,5,etc. 
D) the random variable can assume only a finite or limited set of values. 
E) use in queuing. 
A) a continuous bell-shaped distribution. 
B) a discrete probability distribution. 
C) the number of trials is known and is either 1,2,3,4,5,etc. 
D) the random variable can assume only a finite or limited set of values. 
E) use in queuing.

Question 9

Consider a standard 52-card deck of cards.The probability of drawing either a seven or a black card is 7/13.

Accepted Answer

A) True 
 B)False

Question 10

A new television program was viewed by 200 people (120 females and 80 males).Of the females,60 liked the program and 60 did not.Of the males,60 of the 80 liked the program.
(a)What is the probability that a randomly selected individual liked the program?
(b)If a male in this group is selected,what is the probability that he liked the program?
(c)What is the probability that a randomly selected individual is a female and liked the program?

Accepted Answer

(a)120/200 = 0.60 (b

Question 11

A company is considering producing some new Gameboy electronic games.Based on past records,management believes that there is a 70 percent chance that each of these will be successful and a 30 percent chance of failure.Market research may be used to revise these probabilities.In the past,the successful products were predicted to be successful based on market research 90 percent of the time.However,for products that failed,the market research predicted these would be successes 20 percent of the time.If market research is performed for a new product,what is the probability that the results indicate a successful market for the product and the product actually is successful?

Accepted Answer

A) 0.90 
B) 0.54 
C) 0.60 
D) 0.63 
E) None of the above 
A) 0.90 
B) 0.54 
C) 0.60 
D) 0.63 
E) None of the above

Question 12

The Department of Motor Vehicles (DMV)can service customers at a rate of 20 per hour (or 1/3 per minute)when it comes to license renewals.The service time follows an exponential distribution.What is the probability that it will take between 2 and 3 minutes to be served?

Accepted Answer

A) 0.4831 
B) 0 
C) 1 
D) 0.1419 
E) 0.6284 
A) 0.4831 
B) 0 
C) 1 
D) 0.1419 
E) 0.6284

Question 13

If we flip a coin three times,the probability of getting three heads is 0.125.

Accepted Answer

A) True 
 B)False

Question 14

The standard deviation equals the square of the variance.

Accepted Answer

A) True 
 B)False

Question 15

Compute the F value based on the following:
(a)df1 = 2,df2 = 4,α = 0.01
(b)df1 = 3 df2 = 6,α = 0.05

Accepted Answer

Question 16

Explain why event probabilities range from 0 to 1.

Accepted Answer

The number 0 represents no chance of occ

Question 17

Bayes' theorem is used to calculate

Accepted Answer

A) revised probabilities. 
B) joint probabilities. 
C) prior probabilities. 
D) subjective probabilities. 
E) marginal probabilities. 
A) revised probabilities. 
B) joint probabilities. 
C) prior probabilities. 
D) subjective probabilities. 
E) marginal probabilities.

Question 18

A conditional probability P(B|A)is equal to its marginal probability P(B)if

Accepted Answer

A) it is a joint probability. 
B) statistical dependence exists. 
C) statistical independence exists. 
D) the events are mutually exclusive. 
E) P(
A) = P(
B) . 
A) it is a joint probability. 
B) statistical dependence exists. 
C) statistical independence exists. 
D) the events are mutually exclusive. 
E) P(
A) = P(
B) .

Question 19

Assume that you have an urn containing 10 balls of the following description:
4 are white (W)and lettered (L)
2 are white (W)and numbered (N)
3 are yellow (Y)and lettered (L)
1 is yellow (Y)and numbered (N)
If you draw a lettered ball (L),the probability that this ball is white (W)is 0.571.

Accepted Answer

A) True 
 B)False

Question 20

Given two statistically independent events (A,B),the joint probability of P(AB)= P(A)+ P(B).

Accepted Answer

A) True 
 B)False

A probability density function is a mathematical way of describing Bayes' theorem.

The time required to travel downtown at 10 a.m.on Monday morning is known to be normally distributed with a mean of 40 minutes and a standard deviation of 5 minutes.What is the probability that it will take less than 40 minutes?

Subjective probability assessments depend on

If two events (A,B)are dependent,what is the conditional probability of P(A|B)?

The probability of obtaining specific outcomes in a Bernoulli process is described by the binomial probability distribution.

If two events (A,B)are mutually exclusive,what is the probability of event A or event B occurring?

Properties of the normal distribution include

Consider a standard 52-card deck of cards.The probability of drawing either a seven or a black card is 7/13.

The Department of Motor Vehicles (DMV)can service customers at a rate of 20 per hour (or 1/3 per minute)when it comes to license renewals.The service time follows an exponential distribution.What is the probability that it will take between 2 and 3 minutes to be served?

If we flip a coin three times,the probability of getting three heads is 0.125.

The standard deviation equals the square of the variance.

Compute the F value based on the following: (a)df₁ = 2,df₂ = 4,α = 0.01 (b)df₁ = 3 df₂ = 6,α = 0.05

Explain why event probabilities range from 0 to 1.

Bayes' theorem is used to calculate

A conditional probability P(B|A)is equal to its marginal probability P(B)if

Assume that you have an urn containing 10 balls of the following description: 4 are white (W)and lettered (L) 2 are white (W)and numbered (N) 3 are yellow (Y)and lettered (L) 1 is yellow (Y)and numbered (N) If you draw a lettered ball (L),the probability that this ball is white (W)is 0.571.

Given two statistically independent events (A,B),the joint probability of P(AB)= P(A)+ P(B).

Introduction to Quantitative Analysis

Decision Analysis

Regression Models

Forecasting

Inventory Control Models

Linear Programming Models: Graphical and Computer Methods

Linear Programming Applications

Transportation,assignment,and Network Models

Integer Programming,goal Programming,and Nonlinear Programming

Project Management

Waiting Lines and Queuing Theory Models

Simulation Modeling

Markov Analysis

Statistical Quality Control

Analytic Hierarchy Process

Dynamic Programming

Decision Theory and the Normal Distribution

Game Theory

Mathematical Tools: Determinants and Matrices

Calculus-Based Optimization

Linear Programming: The Simplex Method

Transportation, Assignment, and Network Algorithms

Filters

Exam 2: Probability Concepts and Applications

A probability density function is a mathematical way of describing Bayes' theorem.

The time required to travel downtown at 10 a.m.on Monday morning is known to be normally distributed with a mean of 40 minutes and a standard deviation of 5 minutes.What is the probability that it will take less than 40 minutes?

Subjective probability assessments depend on

If two events (A,B)are dependent,what is the conditional probability of P(A|B)?

The probability of obtaining specific outcomes in a Bernoulli process is described by the binomial probability distribution.

If two events (A,B)are mutually exclusive,what is the probability of event A or event B occurring?

Properties of the normal distribution include

Consider a standard 52-card deck of cards.The probability of drawing either a seven or a black card is 7/13.

The Department of Motor Vehicles (DMV)can service customers at a rate of 20 per hour (or 1/3 per minute)when it comes to license renewals.The service time follows an exponential distribution.What is the probability that it will take between 2 and 3 minutes to be served?

If we flip a coin three times,the probability of getting three heads is 0.125.

The standard deviation equals the square of the variance.

Compute the F value based on the following: (a)df1 = 2,df2 = 4,α = 0.01 (b)df1 = 3 df2 = 6,α = 0.05

Explain why event probabilities range from 0 to 1.

Bayes' theorem is used to calculate

A conditional probability P(B|A)is equal to its marginal probability P(B)if

Assume that you have an urn containing 10 balls of the following description: 4 are white (W)and lettered (L) 2 are white (W)and numbered (N) 3 are yellow (Y)and lettered (L) 1 is yellow (Y)and numbered (N) If you draw a lettered ball (L),the probability that this ball is white (W)is 0.571.

Given two statistically independent events (A,B),the joint probability of P(AB)= P(A)+ P(B).

Introduction to Quantitative Analysis

Decision Analysis

Regression Models

Forecasting

Inventory Control Models

Linear Programming Models: Graphical and Computer Methods

Linear Programming Applications

Transportation,assignment,and Network Models

Integer Programming,goal Programming,and Nonlinear Programming

Project Management

Waiting Lines and Queuing Theory Models

Simulation Modeling

Markov Analysis

Statistical Quality Control

Analytic Hierarchy Process

Dynamic Programming

Decision Theory and the Normal Distribution

Game Theory

Mathematical Tools: Determinants and Matrices

Calculus-Based Optimization

Linear Programming: The Simplex Method

Transportation, Assignment, and Network Algorithms

Filters

Compute the F value based on the following: (a)df₁ = 2,df₂ = 4,α = 0.01 (b)df₁ = 3 df₂ = 6,α = 0.05