Question 1

A continuous probability distribution is characterized by

Accepted Answer

A) a list of possible values. 
B) counts. 
C) an array of individual values. 
D) a continuum of possible values. 
A) a list of possible values. 
B) counts. 
C) an array of individual values. 
D) a continuum of possible values. D

Question 2

The law of large numbers is relevant to the estimation of _____ probabilities.

Accepted Answer

A) objective 
B) subjective 
C) both objective and subjective 
D) neither objective nor subjective 
A) objective 
B) subjective 
C) both objective and subjective 
D) neither objective nor subjective A

Question 3

If A and B are any two events with P(A)= 0.8 and P(B|A)= 0.4,then the joint probability of A and B is:

Accepted Answer

A) 0.80 
B) 0.40 
C) 0.32 
D) 1.20 
A) 0.80 
B) 0.40 
C) 0.32 
D) 1.20 C

Question 4

Suppose A and B are mutually exclusive events where P(A)= 0.2 and P(B)= 0.5,then P(A or B)= 0.70.

Accepted Answer

A) True 
 B)False

Question 5

A discrete probability distribution

Accepted Answer

A) is a set of possible values and a corresponding set of probabilities that sum to 1. 
B) is a modeling tool that can be used to incorporate uncertainty into models. 
C) can be estimated from long-run proportions. 
D) is the distribution of a single random variable. 
A) is a set of possible values and a corresponding set of probabilities that sum to 1. 
B) is a modeling tool that can be used to incorporate uncertainty into models. 
C) can be estimated from long-run proportions. 
D) is the distribution of a single random variable.

Question 6

The temperature of the room in which you are writing this test is a continuous random variable.

Accepted Answer

A) True 
 B)False

Question 7

The binomial distribution is a continuous distribution.

Accepted Answer

A) True 
 B)False

Question 8

If P(A and B)= 1,then A and B must be collectively exhaustive.

Accepted Answer

A) True 
 B)False

Question 9

Probabilities that cannot be estimated from long-run relative frequencies of events are called

Accepted Answer

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

Question 10

Find the probability that the number of arrivals between 4:00 and 5:00 P.M.is exactly two.

Accepted Answer

@#IMG-DLM& = 6; P(X

Question 11

The law of large numbers states that subjective probabilities can be estimated based on the long run relative frequencies of events.

Accepted Answer

A) True 
 B)False

Question 12

Using the standard normal distribution,the Z- score representing the 99th percentile is 2.326.

Accepted Answer

A) True 
 B)False

Question 13

A binomial distribution with n number of trials,and probability of success p can be approximated well by a normal distribution with mean np and variance   if np > 5 and n(1-p)> 5.

Accepted Answer

A) True 
 B)False

Question 14

A random variable X is standardized when each value of X has the mean of X subtracted from it,and the difference is divided by the standard deviation of X.

Accepted Answer

A) True 
 B)False

Question 15

If A and B are mutually exclusive events with P(A)= 0.30 and P(B)= 0.40,then the probability that either A or B occur is

Accepted Answer

A) 0.10. 
B) 0.12. 
C) 0.70. 
D) none of these choices. 
A) 0.10. 
B) 0.12. 
C) 0.70. 
D) none of these choices.

Question 16

The binomial distribution deals with consecutive trials,each of which has two possible outcomes.

Accepted Answer

A) True 
 B)False

Question 17

Given that Z is a standard normal variable,the value z for which P(Z   z)= 0.2580 is

Accepted Answer

A) 0.70. 
B) 0.758. 
C) -0.65. 
D) 0.242. 
A) 0.70. 
B) 0.758. 
C) -0.65. 
D) 0.242.

Question 18

Using the standard normal curve,the Z- score representing the 75th percentile is 0.674.

Accepted Answer

A) True 
 B)False

Question 19

What is the probability density function for the time it takes a technician to fix a computer problem?

Accepted Answer

The answer of What is the probability density function for...

Question 20

When two events are independent,they are also mutually exclusive.

Accepted Answer

A) True 
 B)False

A continuous probability distribution is characterized by

The law of large numbers is relevant to the estimation of _____ probabilities.

If A and B are any two events with P(A)= 0.8 and P(B|A)= 0.4,then the joint probability of A and B is:

Suppose A and B are mutually exclusive events where P(A)= 0.2 and P(B)= 0.5,then P(A or B)= 0.70.

A discrete probability distribution

The temperature of the room in which you are writing this test is a continuous random variable.

The binomial distribution is a continuous distribution.

If P(A and B)= 1,then A and B must be collectively exhaustive.

Probabilities that cannot be estimated from long-run relative frequencies of events are called

Find the probability that the number of arrivals between 4:00 and 5:00 P.M.is exactly two.

The law of large numbers states that subjective probabilities can be estimated based on the long run relative frequencies of events.

Using the standard normal distribution,the Z- score representing the 99th percentile is 2.326.

A binomial distribution with n number of trials,and probability of success p can be approximated well by a normal distribution with mean np and variance if np > 5 and n(1-p)> 5.

A random variable X is standardized when each value of X has the mean of X subtracted from it,and the difference is divided by the standard deviation of X.

If A and B are mutually exclusive events with P(A)= 0.30 and P(B)= 0.40,then the probability that either A or B occur is

The binomial distribution deals with consecutive trials,each of which has two possible outcomes.

Given that Z is a standard normal variable,the value z for which P(Z z)= 0.2580 is

Using the standard normal curve,the Z- score representing the 75th percentile is 0.674.

What is the probability density function for the time it takes a technician to fix a computer problem?

When two events are independent,they are also mutually exclusive.

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 continuous probability distribution is characterized by

The law of large numbers is relevant to the estimation of _____ probabilities.

If A and B are any two events with P(A)= 0.8 and P(B|A)= 0.4,then the joint probability of A and B is:

Suppose A and B are mutually exclusive events where P(A)= 0.2 and P(B)= 0.5,then P(A or B)= 0.70.

A discrete probability distribution

The temperature of the room in which you are writing this test is a continuous random variable.

The binomial distribution is a continuous distribution.

If P(A and B)= 1,then A and B must be collectively exhaustive.

Probabilities that cannot be estimated from long-run relative frequencies of events are called

Find the probability that the number of arrivals between 4:00 and 5:00 P.M.is exactly two.

The law of large numbers states that subjective probabilities can be estimated based on the long run relative frequencies of events.

Using the standard normal distribution,the Z- score representing the 99th percentile is 2.326.

A binomial distribution with n number of trials,and probability of success p can be approximated well by a normal distribution with mean np and variance if np > 5 and n(1-p)> 5.

A random variable X is standardized when each value of X has the mean of X subtracted from it,and the difference is divided by the standard deviation of X.

If A and B are mutually exclusive events with P(A)= 0.30 and P(B)= 0.40,then the probability that either A or B occur is

The binomial distribution deals with consecutive trials,each of which has two possible outcomes.

Given that Z is a standard normal variable,the value z for which P(Z z)= 0.2580 is

Using the standard normal curve,the Z- score representing the 75th percentile is 0.674.

What is the probability density function for the time it takes a technician to fix a computer problem?

When two events are independent,they are also mutually exclusive.

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