Question 1

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 2

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

Accepted Answer

A) True 
 B)False

Question 3

Scores on an endurance test for cardiac patients are normally distributed with F1F1F1S1F1F1F10 = 182 and F1F1F1S1F1F1F10 = 24.
a.What is the probability a patient will score above 190?
b.What percentage of patients score below 170?
c.What score does a patient at the 75th percentile receive?

Accepted Answer

a..3707
b.

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

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 6

Sandy's Pet Center grooms large and small dogs.It takes Sandy 40 minutes to groom a small dog and 70 minutes to groom a large dog.Large dogs account for 20% of Sandy's business.Sandy has 5 appointments tomorrow.
a. What is the probability that all 5 appointments tomorrow are for small dogs?
b. What is the probability that two of the appointments tomorrow are for large dogs?
c. What is the expected amount of time to finish all five dogs tomorrow?

Accepted Answer

a..3277
b.

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

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

Scores on an endurance test for cardiac patients are normally distributed with  = 182 and  = 24. a.What is the probability a patient will score above 190? b.What percentage of patients score below 170? c.What score does a patient at the 75th percentile receive?

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.

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

Introduction

Introduction to Probability

Decision Analysis

Utility and Game Theory

Times Series Analysis and Forecasting

Introduction to Linear Programming

Linear Programming: Sensitivity Analysis and Interpretation of Solution

Linear Programming Applications in Marketing, Finance, and Operations Management

Distribution and Network Models

Integer Linear Programming

Advanced Optimization Applications

Project Scheduling: Pertcpm

Inventory Models

Waiting Line Models

Simulation

Markov Processes

Filters

Exam 3: Probability Distributions

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

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

Scores on an endurance test for cardiac patients are normally distributed with  = 182 and  = 24. a.What is the probability a patient will score above 190? b.What percentage of patients score below 170? c.What score does a patient at the 75th percentile receive?

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.

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

Introduction

Introduction to Probability

Decision Analysis

Utility and Game Theory

Times Series Analysis and Forecasting

Introduction to Linear Programming

Linear Programming: Sensitivity Analysis and Interpretation of Solution

Linear Programming Applications in Marketing, Finance, and Operations Management

Distribution and Network Models

Integer Linear Programming

Advanced Optimization Applications

Project Scheduling: Pertcpm

Inventory Models

Waiting Line Models

Simulation

Markov Processes

Filters