Question 1

Probabilities that can be estimated from long-run relative frequencies of events are called _____ probabilities.

Accepted Answer

A) objective 
B) subjective 
C) complementary 
D) joint 
A) objective 
B) subjective 
C) complementary 
D) joint

Question 2

There are two types of random variables,they are

Accepted Answer

A) discrete and continuous. 
B) exhaustive and mutually exclusive. 
C) complementary and cumulative. 
D) real and unreal. 
A) discrete and continuous. 
B) exhaustive and mutually exclusive. 
C) complementary and cumulative. 
D) real and unreal.

Question 3

The Poisson random variable is a

Accepted Answer

A) discrete random variable with infinitely many possible values. 
B) discrete random variable with finite number of possible values. 
C) continuous random variable with infinitely many possible values. 
D) continuous random variable with finite number of possible values. 
A) discrete random variable with infinitely many possible values. 
B) discrete random variable with finite number of possible values. 
C) continuous random variable with infinitely many possible values. 
D) continuous random variable with finite number of possible values.

Question 4

If two events are collectively exhaustive,what is the probability that one or the other occurs?

Accepted Answer

A) 0.25 
B) 0.50 
C) 1.00 
D) This cannot be determined from the information given. 
A) 0.25 
B) 0.50 
C) 1.00 
D) This cannot be determined from the information given.

Question 5

Find the mean and standard deviation of X.

Accepted Answer

E(X)= Stde

Question 6

Much of the study of probabilistic inventory models,queuing models,and reliability models relies heavily on the Poisson and exponential distributions.

Accepted Answer

A) True 
 B)False

Question 7

Describe the probability distribution of X.

Accepted Answer

Binomial w

Question 8

The relative frequency of an event is the number of times the event occurs out of the total number of times the random experiment is run.

Accepted Answer

A) True 
 B)False

Question 9

The probability of an event and the probability of its complement always sum to

Accepted Answer

A) 1. 
B) 0. 
C) any value between 0 and 1. 
D) any positive value. 
A) 1. 
B) 0. 
C) any value between 0 and 1. 
D) any positive value.

Question 10

Using the standard normal distribution,the Z-score representing the 5th percentile is 1.645.

Accepted Answer

A) True 
 B)False

Question 11

If the mean of an exponential distribution is 2,then the value of the parameter   is

Accepted Answer

A) 4. 
B) 2. 
C) 1. 
D) 0.5. 
A) 4. 
B) 2. 
C) 1. 
D) 0.5.

Question 12

If we plot a continuous probability distribution f(x),the total probability under the curve is

Accepted Answer

A) -1. 
B) 0. 
C) 1. 
D) 100. 
A) -1. 
B) 0. 
C) 1. 
D) 100.

Question 13

According to the empirical rule,how many observations lie within +/- 3 standard deviation from the mean?

Accepted Answer

A) 50% 
B) 68% 
C) 95% 
D) Almost all 
A) 50% 
B) 68% 
C) 95% 
D) Almost all

Question 14

Conditional probability is the probability that an event will occur,with no other events taken into consideration.

Accepted Answer

A) True 
 B)False

Question 15

Suppose that after graduation,you will either buy a new car (event A)or take a trip to Europe (event B).In this case,events A and B are mutually exclusive.

Accepted Answer

A) True 
 B)False

Question 16

A Poisson distribution is

Accepted Answer

A) relevant when we sample from a population with only two types of members. 
B) relevant when we perform a series of independent,identical experiments with only two possible outcomes. 
C) usually relevant when we are interested in the number of events that occur over a given interval of time. 
D) the cornerstone of statistical theory. 
A) relevant when we sample from a population with only two types of members. 
B) relevant when we perform a series of independent,identical experiments with only two possible outcomes. 
C) usually relevant when we are interested in the number of events that occur over a given interval of time. 
D) the cornerstone of statistical theory.

Question 17

If A and B are two independent events with P(A)= 0.20 and P(B)= 0.60,then P(A and B)= 0.80.

Accepted Answer

A) True 
 B)False

Question 18

If two events are collectively exhaustive,what is the probability that both occur at the same time?

Accepted Answer

A) 0.00 
B) 0.50 
C) 1.00 
D) This cannot be determined from the information given. 
A) 0.00 
B) 0.50 
C) 1.00 
D) This cannot be determined from the information given.

Question 19

The time students spend in a computer lab during one day is an example of a continuous random variable.

Accepted Answer

A) True 
 B)False

Question 20

If the random variable X is exponentially distributed with parameter   = 3,then P(X   2),up to 4 decimal places,is

Accepted Answer

A) 0.3333. 
B) 0.5000. 
C) 0.6667. 
D) 0.0025. 
A) 0.3333. 
B) 0.5000. 
C) 0.6667. 
D) 0.0025.

Probabilities that can be estimated from long-run relative frequencies of events are called _____ probabilities.

There are two types of random variables,they are

The Poisson random variable is a

If two events are collectively exhaustive,what is the probability that one or the other occurs?

Find the mean and standard deviation of X.

Much of the study of probabilistic inventory models,queuing models,and reliability models relies heavily on the Poisson and exponential distributions.

Describe the probability distribution of X.

The relative frequency of an event is the number of times the event occurs out of the total number of times the random experiment is run.

The probability of an event and the probability of its complement always sum to

Using the standard normal distribution,the Z-score representing the 5th percentile is 1.645.

If the mean of an exponential distribution is 2,then the value of the parameter is

If we plot a continuous probability distribution f(x),the total probability under the curve is

According to the empirical rule,how many observations lie within +/- 3 standard deviation from the mean?

Conditional probability is the probability that an event will occur,with no other events taken into consideration.

Suppose that after graduation,you will either buy a new car (event A)or take a trip to Europe (event B).In this case,events A and B are mutually exclusive.

A Poisson distribution is

If A and B are two independent events with P(A)= 0.20 and P(B)= 0.60,then P(A and B)= 0.80.

If two events are collectively exhaustive,what is the probability that both occur at the same time?

The time students spend in a computer lab during one day is an example of a continuous random variable.

If the random variable X is exponentially distributed with parameter = 3,then P(X 2),up to 4 decimal places,is

Introduction to Business Analytics

Describing the Distribution of a Variable

Finding Relationships Among Variables

Business Intelligence Bifor Data Analysis

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

Introduction to Simulation Modeling

Simulation Models

Data Mining

Analysis of Variance and Experimental Design

Statistical Process Control

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Exam 5: Probability and Probability Distributions

Probabilities that can be estimated from long-run relative frequencies of events are called _____ probabilities.

There are two types of random variables,they are

The Poisson random variable is a

If two events are collectively exhaustive,what is the probability that one or the other occurs?

Find the mean and standard deviation of X.

Much of the study of probabilistic inventory models,queuing models,and reliability models relies heavily on the Poisson and exponential distributions.

Describe the probability distribution of X.

The relative frequency of an event is the number of times the event occurs out of the total number of times the random experiment is run.

The probability of an event and the probability of its complement always sum to

Using the standard normal distribution,the Z-score representing the 5th percentile is 1.645.

If the mean of an exponential distribution is 2,then the value of the parameter is

If we plot a continuous probability distribution f(x),the total probability under the curve is

According to the empirical rule,how many observations lie within +/- 3 standard deviation from the mean?

Conditional probability is the probability that an event will occur,with no other events taken into consideration.

Suppose that after graduation,you will either buy a new car (event A)or take a trip to Europe (event B).In this case,events A and B are mutually exclusive.

A Poisson distribution is

If A and B are two independent events with P(A)= 0.20 and P(B)= 0.60,then P(A and B)= 0.80.

If two events are collectively exhaustive,what is the probability that both occur at the same time?

The time students spend in a computer lab during one day is an example of a continuous random variable.

If the random variable X is exponentially distributed with parameter = 3,then P(X 2),up to 4 decimal places,is

Introduction to Business Analytics

Describing the Distribution of a Variable

Finding Relationships Among Variables

Business Intelligence Bifor Data Analysis

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

Introduction to Simulation Modeling

Simulation Models

Data Mining

Analysis of Variance and Experimental Design

Statistical Process Control

Filters