Question 1

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  True

Question 2

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  True

Question 3

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 A

Question 4

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 5

Two or more events are said to be mutually exclusive if at most one of them can occur.

Accepted Answer

A) True 
 B)False

Question 6

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

Accepted Answer

A) True 
 B)False

Question 7

If A and B are any two events with P(A)= .8 and P(B|A)= .4,then the joint probability of A and B is

Accepted Answer

A)  .80 
B)  .40 
C)  .32 
D)  1.20 
A)  .80 
B)  .40 
C)  .32 
D)  1.20

Question 8

If events A and B have nonzero probabilities,then they can be both independent and mutually exclusive.

Accepted Answer

A) True 
 B)False

Question 9

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 10

Football teams toss a coin to see who will get their choice of kicking or receiving to begin a game.The probability that given team will win the toss three games in a row is 0.125.

Accepted Answer

A) True 
 B)False

Question 11

If two events are independent,what is the probability that they both occur?

Accepted Answer

A)  0 
B)  0.50 
C)  1.00 
D)  Cannot be determined from the information given 
A)  0 
B)  0.50 
C)  1.00 
D)  Cannot be determined from the information given

Question 12

If P(A and B)= 0,then A and B must be collectively exhaustive.

Accepted Answer

A) True 
 B)False

Question 13

Suppose A and B are two events where P(A)= 0.5,P(B)= 0.4,and P(A and B)= 0.2,then P(B/A)= 0.5.

Accepted Answer

A) True 
 B)False

Question 14

Two events A and B are said to mutually be exclusive if P(A and B)= 0.

Accepted Answer

A) True 
 B)False

Question 15

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

Accepted Answer

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

Question 16

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

Accepted Answer

A) True 
 B)False

Question 17

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 18

If events A and B are mutually exclusive,then the probability of both events occurring simultaneously is equal to

Accepted Answer

A)  0.0 
B)  0.5 
C)  1.0 
D)  any value between 0.5 and 1.0 
A)  0.0 
B)  0.5 
C)  1.0 
D)  any value between 0.5 and 1.0

Question 19

Probability is a number between 0 and 1,inclusive,which measures the likelihood that some event will occur.

Accepted Answer

A) True 
 B)False

Question 20

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

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

There are two types of random variables,they are

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

Two or more events are said to be mutually exclusive if at most one of them can occur.

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

If A and B are any two events with P(A)= .8 and P(B|A)= .4,then the joint probability of A and B is

If events A and B have nonzero probabilities,then they can be both independent and mutually exclusive.

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

Football teams toss a coin to see who will get their choice of kicking or receiving to begin a game.The probability that given team will win the toss three games in a row is 0.125.

If two events are independent,what is the probability that they both occur?

If P(A and B)= 0,then A and B must be collectively exhaustive.

Suppose A and B are two events where P(A)= 0.5,P(B)= 0.4,and P(A and B)= 0.2,then P(B/A)= 0.5.

Two events A and B are said to mutually be exclusive if P(A and B)= 0.

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

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

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

If events A and B are mutually exclusive,then the probability of both events occurring simultaneously is equal to

Probability is a number between 0 and 1,inclusive,which measures the likelihood that some event will occur.

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

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

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

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 4: Probability and Probability Distributions

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

There are two types of random variables,they are

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

Two or more events are said to be mutually exclusive if at most one of them can occur.

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

If A and B are any two events with P(A)= .8 and P(B|A)= .4,then the joint probability of A and B is

If events A and B have nonzero probabilities,then they can be both independent and mutually exclusive.

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

Football teams toss a coin to see who will get their choice of kicking or receiving to begin a game.The probability that given team will win the toss three games in a row is 0.125.

If two events are independent,what is the probability that they both occur?

If P(A and B)= 0,then A and B must be collectively exhaustive.

Suppose A and B are two events where P(A)= 0.5,P(B)= 0.4,and P(A and B)= 0.2,then P(B/A)= 0.5.

Two events A and B are said to mutually be exclusive if P(A and B)= 0.

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

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

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

If events A and B are mutually exclusive,then the probability of both events occurring simultaneously is equal to

Probability is a number between 0 and 1,inclusive,which measures the likelihood that some event will occur.

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

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

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

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters