In this article i am gone to share Coursera Course Data-driven Decision Making Week 3 Quiz Answers with you..

Data-driven Decision Making Week 3 Quiz Answers

Also visit this link:  Data-driven Decision Making Week 2 Quiz Answers

Week 3 Quiz Answers

Question 1)
What type of analysis can be used to segment a population of consumers into market groups?

• Factor Analysis
• Cluster analysis
• Regression analysis
• Decision tree analysis

Question 2)
What type of analysis can be used to graph decisions and their possible consequences including chance event outcomes, resources costs and utility?

• Factor analysis
• Cluster analysis
• Decision tree analysis
• Regression analysis

Question 3)
What type of analysis can be used to analyze large number of dependent and independent variables, identifying the core set that will help gain meaningful insight?

• Factor analysis
• Cluster analysis
• Decision tree analysis
• Regression analysis

Question 4)
What type of analysis is a statistical process for estimating relationships between a dependent variable and one or more independent variables?

• Factor Analysis
• Cluster analysis
• Regression analysis
• Decision tree analysis

Question 5)
What are some of the benefits named for using Excel in a business context?

• It is easy to explore “what if?” scenarios
• It automates data processing
• It is easy to use
• All of the above

Question 6)
SAS has advantages for both technical and non-technical users. What are they?

• SAS combines structured and unstructured data
• Non-technical users will like the social media aspect while technical users will like the way the algorithms are written
• Non-technical users can interact with the point-and-click interface while technical users can perform more complex data management

Question 7)
What is one of the reasons that R is a leading statistical data package?

• It is crucial to Pharma Research and Development
• It performs decision-tree modeling better than any other platform
• It allows the import of data from multiple sources and multiple formats

Question 8)
You are working at a startup company that wants to embed analytics into their product. What tool would allow you to do this?

• SAS
• Python
• Excel
• QlikView

Question 9)
You have a client that needs to demonstrate that its past, present and future workforce plans were fit for purpose. Its data is in different formats, in varying degrees of accuracy and stored in multiple systems across the organization. What are your next steps to help your client quickly and easily access and understand all of this data?

• Perform a decision tree analysis
• Perform a segmentation analysis
• Consolidate the data and share with the client
• Consolidate the data and create a visualization

Question 10)
You have a client that has been spending months collecting and analyzing product data and is communicating the findings via basic spreadsheets and sets of powerpoint slides. The data set had become so large that these traditional approaches were not allowing users to interact and use the data at the required level of detail. What tool can connect volumes of data and visualize the data in real time?

• SAS
• Excel
• QlikView
• Python

Question 11)
A client is suffering a much higher rate of employee turnover than normal within its sector, including losing a significant amount of key talent. The direct cost of this (recruitment costs and lost revenue) is affecting the company’s immediate profitability. This loss of talent was a cause of long-term concern in realizing the company’s growth strategy. What two types of analysis would you perform to test a range of hypotheses to identify the most common drivers behind employees leaving the company?

• Factor analysis and regression analysis
• Multivariate analysis and cluster analysis
• Multivariate analysis and regression analysis
• Cluster analysis and decision tree analysis