Question 1

Sometimes it is convenient to treat a discrete probability distribution as continuous,and vice versa.

Accepted Answer

A) True 
 B)False

Question 2

Which of the following statements are false?

Accepted Answer

A)  A probability distribution is discrete if it has a finite number of possible values. 
B)  A probability distribution is continuous if its possible values are essentially some continuum. 
C)  An example of a discrete probability distribution is the amount of rain that falls during the month of June in Michigan. 
D)  None of these options 
A)  A probability distribution is discrete if it has a finite number of possible values. 
B)  A probability distribution is continuous if its possible values are essentially some continuum. 
C)  An example of a discrete probability distribution is the amount of rain that falls during the month of June in Michigan. 
D)  None of these options

Question 3

When we run simulation,the @Risk automatically keeps statistics such as averages and standard deviations,and can also create graphs such as histograms based on the values generated in the output cells in the simulation model.

Accepted Answer

A) True 
 B)False

Question 4

A primary difference between standard spreadsheet models and simulation models is that at least one of the input variable cells in a simulation model contains random numbers.

Accepted Answer

A) True 
 B)False

Sometimes it is convenient to treat a discrete probability distribution as continuous,and vice versa.

Which of the following statements are false?

When we run simulation,the @Risk automatically keeps statistics such as averages and standard deviations,and can also create graphs such as histograms based on the values generated in the output cells in the simulation model.

A primary difference between standard spreadsheet models and simulation models is that at least one of the input variable cells in a simulation model contains random numbers.

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

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Exam 15: Introduction to Simulation Modeling

Sometimes it is convenient to treat a discrete probability distribution as continuous,and vice versa.

Which of the following statements are false?

When we run simulation,the @Risk automatically keeps statistics such as averages and standard deviations,and can also create graphs such as histograms based on the values generated in the output cells in the simulation model.

A primary difference between standard spreadsheet models and simulation models is that at least one of the input variable cells in a simulation model contains random numbers.

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters