Question 1

A standard normal distribution is a normal distribution with

Accepted Answer

A) a mean of 1 and a standard deviation of 0 
B) a mean of 0 and a standard deviation of 1 
C) any mean and a standard deviation of 1 
D) any mean and any standard deviation 
A) a mean of 1 and a standard deviation of 0 
B) a mean of 0 and a standard deviation of 1 
C) any mean and a standard deviation of 1 
D) any mean and any standard deviation

Question 2

If one wanted to find the probability of ten customer arrivals in an hour at a service station,one would generally use the Poisson distribution.

Accepted Answer

A) True 
 B)False

Question 3

If the Poisson distribution describes the number of occurrences per interval,the exponential distribution describes the length of the interval between occurrences.

Accepted Answer

A) True 
 B)False

Question 4

A random variable that has a normal distribution with a mean of 0 and a standard deviation of 1 is said to have a binomial distribution.

Accepted Answer

A) True 
 B)False

Question 5

For an exponentially distributed random variable x with a mean of 8,the probability of x < 8 is .5.

Accepted Answer

A) True 
 B)False

Question 6

The high school GPAs of applicants for admission to a college program are recorded and relative frequencies are calculated for the categories.
   
a.Complete the table to make this a valid probability distribution.
b.What is the probability an applicant's GPA will be below 3.0?
c.What is the probability an applicant's GPA will be 2.5 or above?

Accepted Answer

a.f(x)= .1

Question 7

The Poisson probability distribution is used with a continuous random variable.

Accepted Answer

A) True 
 B)False

Question 8

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

Accepted Answer

A) discrete random variable 
B) continuous random variable 
C) complex random variable 
D) None of these alternatives is correct. 
A) discrete random variable 
B) continuous random variable 
C) complex random variable 
D) None of these alternatives is correct.

Question 9

Z is a standard normal random variable.The P(z > 2.11)equals

Accepted Answer

A) 0.4821 
B) 0.9821 
C) 0.5 
D) 0.0174 
A) 0.4821 
B) 0.9821 
C) 0.5 
D) 0.0174

Question 10

The expected value of the discrete random variable x is $\mu$,a weighted average of all possible values of x.

Accepted Answer

A) True 
 B)False

Question 11

Delicious Candy markets a two pound box of assorted chocolates.Because of imperfections in the candy making equipment,the actual weight of the chocolate has a continuous uniform distribution ranging from 31.8 to 32.6 ounces.
a.Define a probability density function for the weight of the box of chocolate.
b.What is the probability that a box weighs (1)exactly 32 ounces; (2)more than 32.3 ounces; (3)less than 31.8 ounces?
c.The government requires that at least 60% of all products sold weigh at least as much as the stated weight.Is Delicious violating government regulations?

Accepted Answer

a.f(x)= 1.25 for 31.

Question 12

Weight,time,and temperature are examples of discrete random variables.

Accepted Answer

A) True 
 B)False

A standard normal distribution is a normal distribution with

If one wanted to find the probability of ten customer arrivals in an hour at a service station,one would generally use the Poisson distribution.

If the Poisson distribution describes the number of occurrences per interval,the exponential distribution describes the length of the interval between occurrences.

A random variable that has a normal distribution with a mean of 0 and a standard deviation of 1 is said to have a binomial distribution.

For an exponentially distributed random variable x with a mean of 8,the probability of x < 8 is .5.

The Poisson probability distribution is used with a continuous random variable.

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

Z is a standard normal random variable.The P(z > 2.11)equals

The expected value of the discrete random variable x is $\mu$ ,a weighted average of all possible values of x.

Weight,time,and temperature are examples of discrete random variables.

Introduction

Introduction to Probability

Decision Analysis

Utility and Game Theory

Forecasting

Introduction to Linear Programming

Lp Sensitivity Analysis and Interpretation of Solution

Linear Programming Applications

Distribution and Network Problems

Integer Linear Programming

Advanced Optimization Application

Project Scheduling: Pertcpm

Inventory Models

Waiting Line Models

Simulation

Markov Processes

Filters

Exam 3: Probability Distributions

A standard normal distribution is a normal distribution with

If one wanted to find the probability of ten customer arrivals in an hour at a service station,one would generally use the Poisson distribution.

If the Poisson distribution describes the number of occurrences per interval,the exponential distribution describes the length of the interval between occurrences.

A random variable that has a normal distribution with a mean of 0 and a standard deviation of 1 is said to have a binomial distribution.

For an exponentially distributed random variable x with a mean of 8,the probability of x < 8 is .5.

The Poisson probability distribution is used with a continuous random variable.

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

Z is a standard normal random variable.The P(z > 2.11)equals

The expected value of the discrete random variable x is μ\muμ ,a weighted average of all possible values of x.

Weight,time,and temperature are examples of discrete random variables.

Introduction

Introduction to Probability

Decision Analysis

Utility and Game Theory

Forecasting

Introduction to Linear Programming

Lp Sensitivity Analysis and Interpretation of Solution

Linear Programming Applications

Distribution and Network Problems

Integer Linear Programming

Advanced Optimization Application

Project Scheduling: Pertcpm

Inventory Models

Waiting Line Models

Simulation

Markov Processes

Filters

The expected value of the discrete random variable x is $\mu$ ,a weighted average of all possible values of x.