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Relationships between continuous data outputs and continuous data inputs

Question 1

  1. Which business research analysis assesses relationships between continuous data outputs and continuous data inputs?
Binary Lostics Regression
Non-parametric statistics
ANOVA
Regression
Chi-square Contingency Tables

5 points

Question 2

  1. Which business research analysis assesses relationships between continuous data outputs and discrete data inputs?
Binary Logistic Regression
Pareto Chart
ANOVA
Regression
Chi-square Contingency Tables

5 points

Question 3

  1. Which business research analysis assesses relationships between discrete data outputs and discrete data inputs?
Binary Logistic Regression
Non-parametric Tests
ANOVA
Regression
Chi-square Contingency Tables

5 points

Question 4

  1. Which business research approach analyzes continuous data when the data are non-normal?
Binary Logistic Regression
Non-parametric Tests
ANOVA
Regression
Chi-square Contingency Tables

5 points

Question 5

  1. Under what circumstances would the Mood Median non-parametric test be applied in busienss research?
The data are not normally distributed
Outliers in the data exist
Multiple medians are to be compared
Answers 1 and 2 only
Answers 1, 2 and 3

5 points

Question 6

  1. Scenario:  Achievement test scores in science were recorded for 9 students.  A researcher must judge if there is sufficient evidence for the population median being different than 77 using alpha = 0.05. What research analysis is appropriate here?
1 Sample Wilcoxon
Mood Median
Mann-Whitney
Kruskal-Wallis
None of the above

5 points

Question 7

  1. Scenario:  You are studying how yeast thrives in brewing tanks.  You set up twelve tanks in the brewery: six tanks with yeast batch A and six tanks with batch B.  To both of the six tank batches, you add one of three nutrient supplements to each of two tanks.  After 30 days you measure the yeast content in the tank. You apply a test to see if the means are equal. What research analysis is appropriate here?
Regression
ANOVA
Non-parmetrics
Binary Logistic Regression
Chi-square Contingency Tables

5 points

Question 8

  1. Scenario:  As part of a test of solar thermal energy, you measure the total heat flux from homes in degrees Celsius. You wish to examine whether total heat flux can be predicted by the focal-point distance in kilometers, ambient temperature in degrees Celsius, and home elevation in meters above sea level.  What research analysis is appropriate here?
Regression
ANOVA
Mood Median
Binary Logistic Regression
Chi-square Contingency Table

5 points

Question 9

  1. Scenario:  You would like to classify the individuals in your research by gender (M/F), smoking status (Y/N) and activity level (Low/Medium/High) in order to identify dependencies among these categories. What research analysis is appropriate here?
Regression
ANOVA
Mood Median
Binary Logistic Regression
Chi-square Contingency Table

5 points

Question 10

  1. Scenario:  The political affiliation of Capitol City is: Republicans 52%, Democrats 40%, and Independent 8%.  As a researcher, you want to count and assess whether the political affiliation of Oregon Tech students is dependent upon the Capitol City population. 200 students are selected at random and their political affiliation recorded.  What research analysis is appropriate here.
Regression
ANOVA
Mood Median
Binary Logistic Regression
Chi-square Contingency Table

5 points

Question 11

  1. Scenario:  A researcher must determine whether the median body mass index of patients 30 years and younger is significantly different than patients 31-50 years of age and 51+ years of age, but suspects significant outliers in the data.  What test is appropriate here?
Wilcoxon
Mann-Whitney
Kruskal-Wallis
Mood Median
None of the above

5 points

Question 12

  1. Scenario:  You conduct research to assess the durability of four experimental carpet products. You place a sample of each of the carpet products in four homes and you measure durability after 60 days. Because you wish to test the mean durability of each and to assess the differences in means if they eixst, what research analysis would be most appropriate here?
Regression
ANOVA
Non-parmetric
Binary Logistic Regression
Chi-square Contingency Table

5 points

Question 13

  1. Scenario:  You are a manufacturer who wants to obtain a quality measure on a product: Time before failure of the product, in hours.  There is an approach which uses different product scores to predict the actual quality measure: Scores for criteria A on a scale of 1-100, 100 being best, and Scores for criteria B on a scale of 1-100, 100 being best. What is the appropriate research analysis for this?
Regression
ANOVA
Non-parametric
Binary Logistic Regression
Chi-square Contingency Table

5 points

Question 14

  1. Refer to exhibit 1 below.  What is the prediction equation for determining Heat BTU’s?
Heat BTU’s = 389 + 2.12 Burn Rate + 5.32 Fuel density + 24.1 Mixing Time
Heat BTU’s = 66 + 1.21 Burn Rate + 0.96 Fuel density – 1.87 Mixing Time
Heat BTU’s = 5.89 + 1.75 Burn Rate + 5.52 Fuel density – 12.92 Mixing Time
Heat BTU’s = 389 + 2.12 Burn Rate + 5.32 Fuel density – 24.1 Mixing Time
Impossible to determine from this research

5 points

Question 15

  1. Refer to exhibit 1.  What percent of the variability observed in Heat BTU’s is explained by Burn Rate, Fuel Density, and Mixing Time?
8.59
85.9
66.09
5.89
Impossible to determine from this research

5 points

Question 16

  1. Refer to exhibit 1.  Which of the following statement is FALSE?
The research analysis used here is a multiple regression analysis
It is possible a beta error has been committed
It is possible an alpha error has been committed
Burn Rate is significant in the prediction of House Heat BTU’s
No quadratic (squared) terms are included in this research model

5 points

Question 17

  1. Residuals from an ANOVA are shown below.  Which statement is FALSE concerning the interpretation of these residuals?
The p-values can be reliably interpreted for this research
Another variable should be investigated
The residuals are normally distributed
The response in this research analysis is Late Reports
These residuals look “good”

5 points

Question 18

  1. Refer to the research analysis output below (Exhibit 3).  Which is NOT a reasonable interpretation of this output?
The median Growth from treatment to treatment for this research is significantly different
This is a non-parametric research analysis
The original data are most likely non-normal
There are most likely outliers in the data
The research analysis conducted is the Kruskal-Wallis test

5 points

Question 19

  1. Which of the following is associated with the concept of “layering”?
Chi-square Contingency Tables
Further stratification of the research data
Increases the sensitivity of the research analysis
Answers 1 and 2 only
Answers 1, 2 and 3

5 points

Question 20

  1. Which analyses strongly recommend analysis of residuals before a reliable interpretation of a p-value?
Regression
ANOVA
Non-parametrics
Answers 1 and 2 only
Answers 1, 2 and 3
 

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