Question 1

According to the empirical rule,how many observations lie within +/- 2 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 2

For a given probability of success p that is not too close to 0 or 1,the binomial distribution takes on more of a symmetric bell shape as the number of trials n increases.

Accepted Answer

A) True 
 B)False

Question 3

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 4

The standard deviation   of a probability distribution is a measure of

Accepted Answer

A) variability of the distribution. 
B) central location. 
C) the shape of the distribution. 
D) skewness of the distribution. 
A) variability of the distribution. 
B) central location. 
C) the shape of the distribution. 
D) skewness of the distribution.

Question 5

What type of probability distribution will most likely be used to analyze warranty repair needs on new microwaves in this situation?

Accepted Answer

Binomial d

Question 6

Which of the following statements is true?

Accepted Answer

A) Probabilities must be negative. 
B) Probabilities must be greater than 1. 
C) The sum of all probabilities for a random variable must be equal to 1. 
D) The sum of all probabilities for a random variable must be equal to 0. 
A) Probabilities must be negative. 
B) Probabilities must be greater than 1. 
C) The sum of all probabilities for a random variable must be equal to 1. 
D) The sum of all probabilities for a random variable must be equal to 0.

Question 7

The standard normal distribution has a mean and a standard deviation respectively equal to

Accepted Answer

A) 0 and 0. 
B) 1 and 1. 
C) 1 and 0. 
D) 0 and 1. 
A) 0 and 0. 
B) 1 and 1. 
C) 1 and 0. 
D) 0 and 1.

Question 8

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

Accepted Answer

A) 0.0 
B) 0.5 
C) 1.0 
D) This can be any probability between 0 and 1. 
A) 0.0 
B) 0.5 
C) 1.0 
D) This can be any probability between 0 and 1.

Question 9

The mean   of a probability distribution is a measure of

Accepted Answer

A) variability of the distribution. 
B) central location. 
C) the shape of the distribution. 
D) skewness of the distribution. 
A) variability of the distribution. 
B) central location. 
C) the shape of the distribution. 
D) skewness of the distribution.

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

The results of tossing a coin can be portrayed in a(n)_____ distribution.

Accepted Answer

A) binomial 
B) normal 
C) exponential 
D) Poisson 
A) binomial 
B) normal 
C) exponential 
D) Poisson

Question 12

The total area under the normal distribution curve is equal to one.

Accepted Answer

A) True 
 B)False

According to the empirical rule,how many observations lie within +/- 2 standard deviation from the mean?

For a given probability of success p that is not too close to 0 or 1,the binomial distribution takes on more of a symmetric bell shape as the number of trials n increases.

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.

The standard deviation of a probability distribution is a measure of

What type of probability distribution will most likely be used to analyze warranty repair needs on new microwaves in this situation?

Which of the following statements is true?

The standard normal distribution has a mean and a standard deviation respectively equal to

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

The mean of a probability distribution is a measure of

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.

The results of tossing a coin can be portrayed in a(n)_____ distribution.

The total area under the normal distribution curve is equal to one.

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

According to the empirical rule,how many observations lie within +/- 2 standard deviation from the mean?

For a given probability of success p that is not too close to 0 or 1,the binomial distribution takes on more of a symmetric bell shape as the number of trials n increases.

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.

The standard deviation of a probability distribution is a measure of

What type of probability distribution will most likely be used to analyze warranty repair needs on new microwaves in this situation?

Which of the following statements is true?

The standard normal distribution has a mean and a standard deviation respectively equal to

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

The mean of a probability distribution is a measure of

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.

The results of tossing a coin can be portrayed in a(n)_____ distribution.

The total area under the normal distribution curve is equal to one.

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