Question 1

Based on the following plot of residuals, what can you say about the conditions
For ANOVA?

Accepted Answer

A)  The equal variance assumption is satisfied. 
B)  The linearity assumption is satisfied. 
C)  The nearly normal assumption is satisfied. 
D)  The nearly normal assumption is not satisfied. 
E)  The additive assumption is satisfied. 
A)  The equal variance assumption is satisfied. 
B)  The linearity assumption is satisfied. 
C)  The nearly normal assumption is satisfied. 
D)  The nearly normal assumption is not satisfied. 
E)  The additive assumption is satisfied.

Question 2

Sunny Side Condominiums recently purchased land outside of Phoenix and is
Trying to decide the size complex it should build (large or small). The following payoff
Table (in thousands of dollars) considers three possible levels of demand. If there is a
45% chance that the demand level will be low, 30% that it will be medium and 25%
Chance that it will be high. Moreover, the standard deviations (in thousands of dollars)
For building a small and large complex are 535 and 976, respectively. Based on the
Resulting coefficients of variation (CV), which of the following statements would be true?

Accepted Answer

A)  The CV of building a large complex is less than that of building a small complex. 
B)  The CV of building a small complex is less than that of building a large complex. 
C)  The risk averse action would be to build a large complex. 
D)  Both A and C 
E)  Both B and C 
A)  The CV of building a large complex is less than that of building a small complex. 
B)  The CV of building a small complex is less than that of building a large complex. 
C)  The risk averse action would be to build a large complex. 
D)  Both A and C 
E)  Both B and C

Based on the following plot of residuals, what can you say about the conditions For ANOVA?

Data

Surveys and Sampling

Displaying and Describing Categorical Data

Displaying and Describing Quantitative Data

Correlation and Linear Regression

Randomness and Probability

Random Variables and Probability Models

The Normal Distribution

Confidence Intervals for Means

Confidence Intervals for Proportions

Confidence Intervals for Means

Testing Hypotheses

Comparing Two Groups

Inference for Counts: Chi-Square

Inference for Regression

Understanding Residuals

Multiple Regression

Data

Business Statistics

Decision Making and Risk

Introduction to Data Mining

Exploring and Collecting Data

Modeling With Probability

Inference for Decision Making

Models for Decision Making

Filters

Exam 30: Selected Topics in Decision Making

Based on the following plot of residuals, what can you say about the conditions For ANOVA?

Data

Surveys and Sampling

Displaying and Describing Categorical Data

Displaying and Describing Quantitative Data

Correlation and Linear Regression

Randomness and Probability

Random Variables and Probability Models

The Normal Distribution

Confidence Intervals for Means

Confidence Intervals for Proportions

Confidence Intervals for Means

Testing Hypotheses

Comparing Two Groups

Inference for Counts: Chi-Square

Inference for Regression

Understanding Residuals

Multiple Regression

Data

Business Statistics

Decision Making and Risk

Introduction to Data Mining

Exploring and Collecting Data

Modeling With Probability

Inference for Decision Making

Models for Decision Making

Filters