Buisness Research Methods
CollegeDummy
exam_2.docxQuestion 1
1. Which business research analysis assesses relationships between continuous data outputs and continuous data inputs?
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Binary Lostics Regression |
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Non-parametric statistics |
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ANOVA |
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Regression |
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Chi-square Contingency Tables |
5 points
Question 2
1. Which business research analysis assesses relationships between continuous data outputs and discrete data inputs?
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Binary Logistic Regression |
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Pareto Chart |
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ANOVA |
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Regression |
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Chi-square Contingency Tables |
5 points
Question 3
1. Which business research analysis assesses relationships between discrete data outputs and discrete data inputs?
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Binary Logistic Regression |
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Non-parametric Tests |
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ANOVA |
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Regression |
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Chi-square Contingency Tables |
5 points
Question 4
1. Which business research approach analyzes continuous data when the data are non-normal?
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Binary Logistic Regression |
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Non-parametric Tests |
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ANOVA |
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Regression |
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Chi-square Contingency Tables |
5 points
Question 5
1. Under what circumstances would the Mood Median non-parametric test be applied in busienss research?
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The data are not normally distributed |
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Outliers in the data exist |
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Multiple medians are to be compared |
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Answers 1 and 2 only |
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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?
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1 Sample Wilcoxon |
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Mood Median |
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Mann-Whitney |
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Kruskal-Wallis |
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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?
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Regression |
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ANOVA |
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Non-parmetrics |
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Binary Logistic Regression |
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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?
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Regression |
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ANOVA |
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Mood Median |
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Binary Logistic Regression |
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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?
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Regression |
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ANOVA |
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Mood Median |
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Binary Logistic Regression |
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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.
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Regression |
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ANOVA |
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Mood Median |
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Binary Logistic Regression |
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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?
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Wilcoxon |
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Mann-Whitney |
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Kruskal-Wallis |
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Mood Median |
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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?
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Regression |
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ANOVA |
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Non-parmetric |
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Binary Logistic Regression |
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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?
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Regression |
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ANOVA |
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Non-parametric |
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Binary Logistic Regression |
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Chi-square Contingency Table |
5 points
Question 14
1. Refer to exhibit 1 below. What is the prediction equation for determining Heat BTU’s?
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Heat BTU’s = 389 + 2.12 Burn Rate + 5.32 Fuel density + 24.1 Mixing Time |
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Heat BTU’s = 66 + 1.21 Burn Rate + 0.96 Fuel density - 1.87 Mixing Time |
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Heat BTU’s = 5.89 + 1.75 Burn Rate + 5.52 Fuel density - 12.92 Mixing Time |
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Heat BTU’s = 389 + 2.12 Burn Rate + 5.32 Fuel density - 24.1 Mixing Time |
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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?
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8.59 |
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85.9 |
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66.09 |
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5.89 |
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Impossible to determine from this research |
5 points
Question 16
1. Refer to exhibit 1. Which of the following statement is FALSE?
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The research analysis used here is a multiple regression analysis |
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It is possible a beta error has been committed |
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It is possible an alpha error has been committed |
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Burn Rate is significant in the prediction of House Heat BTU’s |
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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?
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The p-values can be reliably interpreted for this research |
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Another variable should be investigated |
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The residuals are normally distributed |
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The response in this research analysis is Late Reports |
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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?
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The median Growth from treatment to treatment for this research is significantly different |
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This is a non-parametric research analysis |
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The original data are most likely non-normal |
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There are most likely outliers in the data |
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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”?
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Chi-square Contingency Tables |
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Further stratification of the research data |
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Increases the sensitivity of the research analysis |
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Answers 1 and 2 only |
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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?
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Regression |
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ANOVA |
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Non-parametrics |
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Answers 1 and 2 only |
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Answers 1, 2 and 3 |
