Question 1

A random variable is a function that associates a numerical value with each possible outcome of a random phenomenon.

Accepted Answer

A) True 
 B)False

Question 2

If P(A)= 0.25 and P(B)= 0.65,then P(A and B)is

Accepted Answer

A) 0.25. 
B) 0.40. 
C) 0.90. 
D) This cannot be determined from the information given. 
A) 0.25. 
B) 0.40. 
C) 0.90. 
D) This cannot be determined from the information given.

Question 3

The number of people entering a shopping mall on a given day is an example of a discrete random variable.

Accepted Answer

A) True 
 B)False

Question 4

Subjective probability is the probability that a given event will occur,given that another event has already occurred.

Accepted Answer

A) True 
 B)False

Question 5

Given that Z is a standard normal random variable,P(-1.0   Z   1.5)is

Accepted Answer

A) 0.7745. 
B) 0.8413. 
C) 0.0919. 
D) 0.9332. 
A) 0.7745. 
B) 0.8413. 
C) 0.0919. 
D) 0.9332.

Question 6

The primary reason for standardizing random variables is to measure variables with

Accepted Answer

A) different means and standard deviations on a non-standard scale. 
B) different means and standard deviations on a single scale. 
C) dissimilar means and standard deviations in like terms. 
D) similar means and standard deviations on two scales. 
A) different means and standard deviations on a non-standard scale. 
B) different means and standard deviations on a single scale. 
C) dissimilar means and standard deviations in like terms. 
D) similar means and standard deviations on two scales.

Question 7

What is the standard deviation of the number of the new microwaves sold that will require a warranty repair in the first 90 days?

Accepted Answer

The answer of What is the standard deviation of the...

Question 8

A function that associates a numerical value with each possible outcome of an uncertain event is called a _____ variable.

Accepted Answer

A) conditional 
B) random 
C) population 
D) sample 
A) conditional 
B) random 
C) population 
D) sample

Question 9

Given that events A and B are independent and that P(A)= 0.8 and P(B/A)= 0.4,then P(A and B)= 0.32.

Accepted Answer

A) True 
 B)False

Question 10

Two or more events are said to be exhaustive if one of them must occur.

Accepted Answer

A) True 
 B)False

Question 11

Find the probability that the number of arrivals between 3:00 and 5:00 P.M.is at least 10.

Accepted Answer

@#IMG-DLM& =12; P(X

Question 12

Using the standard normal curve,the Z- score representing the 10th percentile is 1.28.

Accepted Answer

A) True 
 B)False

Question 13

The library is interested in estimating the number of individuals who use the computers during the lunch hour.Which probability distribution should they use?

Accepted Answer

A) Binomial distribution 
B) Poisson distribution 
C) Normal distribution 
D) Uniform distribution 
A) Binomial distribution 
B) Poisson distribution 
C) Normal distribution 
D) Uniform distribution

Question 14

Which probability distribution applies to the number of events occurring within a specified period of time or space?

Accepted Answer

A) Binomial distribution 
B) Poisson distribution 
C) Any discrete probability distribution 
D) Any continuous probability distribution 
A) Binomial distribution 
B) Poisson distribution 
C) Any discrete probability distribution 
D) Any continuous probability distribution

Question 15

We assume that the outcomes of successive trials in a binomial experiment are

Accepted Answer

A) probabilistically independent. 
B) probabilistically dependent. 
C) identical from trial to trial. 
D) random number between 0 and 1. 
A) probabilistically independent. 
B) probabilistically dependent. 
C) identical from trial to trial. 
D) random number between 0 and 1.

Question 16

If A and B are any two events with P(A)= 0.8 and P(B|   )= 0.7,then P(   and B)is

Accepted Answer

A) 0.56. 
B) 0.14. 
C) 0.24. 
D) none of these choices. 
A) 0.56. 
B) 0.14. 
C) 0.24. 
D) none of these choices.

Question 17

When we wish to determine the probability that at least one of several events will occur,we would use the addition rule.

Accepted Answer

A) True 
 B)False

Question 18

A Poisson distribution is appropriate to determine the probability of a given number of defective items in a shipment.

Accepted Answer

A) True 
 B)False

Question 19

The normal distribution is a

Accepted Answer

A) discrete distribution with two parameters. 
B) binomial distribution with only one parameter. 
C) density function of a discrete random variable. 
D) continuous distribution with two parameters. 
A) discrete distribution with two parameters. 
B) binomial distribution with only one parameter. 
C) density function of a discrete random variable. 
D) continuous distribution with two parameters.

Question 20

If the random variable X is exponentially distributed with parameter   = 1.5,then P(2   X   4),up to 4 decimal places,is

Accepted Answer

A) 0.6667. 
B) 0.0473. 
C) 0.5000. 
D) 0.2500. 
A) 0.6667. 
B) 0.0473. 
C) 0.5000. 
D) 0.2500.

A random variable is a function that associates a numerical value with each possible outcome of a random phenomenon.

If P(A)= 0.25 and P(B)= 0.65,then P(A and B)is

The number of people entering a shopping mall on a given day is an example of a discrete random variable.

Subjective probability is the probability that a given event will occur,given that another event has already occurred.

Given that Z is a standard normal random variable,P(-1.0 Z 1.5)is

The primary reason for standardizing random variables is to measure variables with

What is the standard deviation of the number of the new microwaves sold that will require a warranty repair in the first 90 days?

A function that associates a numerical value with each possible outcome of an uncertain event is called a _____ variable.

Given that events A and B are independent and that P(A)= 0.8 and P(B/A)= 0.4,then P(A and B)= 0.32.

Two or more events are said to be exhaustive if one of them must occur.

Find the probability that the number of arrivals between 3:00 and 5:00 P.M.is at least 10.

Using the standard normal curve,the Z- score representing the 10th percentile is 1.28.

The library is interested in estimating the number of individuals who use the computers during the lunch hour.Which probability distribution should they use?

Which probability distribution applies to the number of events occurring within a specified period of time or space?

We assume that the outcomes of successive trials in a binomial experiment are

If A and B are any two events with P(A)= 0.8 and P(B| )= 0.7,then P( and B)is

When we wish to determine the probability that at least one of several events will occur,we would use the addition rule.

A Poisson distribution is appropriate to determine the probability of a given number of defective items in a shipment.

The normal distribution is a

If the random variable X is exponentially distributed with parameter = 1.5,then P(2 X 4),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

A random variable is a function that associates a numerical value with each possible outcome of a random phenomenon.

If P(A)= 0.25 and P(B)= 0.65,then P(A and B)is

The number of people entering a shopping mall on a given day is an example of a discrete random variable.

Subjective probability is the probability that a given event will occur,given that another event has already occurred.

Given that Z is a standard normal random variable,P(-1.0 Z 1.5)is

The primary reason for standardizing random variables is to measure variables with

What is the standard deviation of the number of the new microwaves sold that will require a warranty repair in the first 90 days?

A function that associates a numerical value with each possible outcome of an uncertain event is called a _____ variable.

Given that events A and B are independent and that P(A)= 0.8 and P(B/A)= 0.4,then P(A and B)= 0.32.

Two or more events are said to be exhaustive if one of them must occur.

Find the probability that the number of arrivals between 3:00 and 5:00 P.M.is at least 10.

Using the standard normal curve,the Z- score representing the 10th percentile is 1.28.

The library is interested in estimating the number of individuals who use the computers during the lunch hour.Which probability distribution should they use?

Which probability distribution applies to the number of events occurring within a specified period of time or space?

We assume that the outcomes of successive trials in a binomial experiment are

If A and B are any two events with P(A)= 0.8 and P(B| )= 0.7,then P( and B)is

When we wish to determine the probability that at least one of several events will occur,we would use the addition rule.

A Poisson distribution is appropriate to determine the probability of a given number of defective items in a shipment.

The normal distribution is a

If the random variable X is exponentially distributed with parameter = 1.5,then P(2 X 4),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