Week 8 Assignment – Case Study: Statistical Inference Overview The research depa

Week 8 Assignment – Case Study: Statistical Inference
Overview
The research department of an appliance manufacturing firm has developed a solid-state switch for its blender that the research department claims will reduce appliance returns under the one-year full warranty by 3%–6%. To determine if the claim can be supported, the testing department selects a group of the blenders manufactured with the new switch and a group with the old switch and subjects them to a normal year’s worth of wear. Out of 300 blenders tested with the new switch, twelve would have been returned. Twenty-one would have been returned out of the 300 blenders with the old switch. As the manager of the appliance manufacturing process, use a statistical procedure to verify or refute the research department’s claim.
Instructions
Create 8–10 slides, including a cover and a sources list, for a presentation to the director of the manufacturing plant in which you:  
Summarize the problem with the appliance manufacturing firm’s blenders. 
Propose the statistical inference to use to solve the problem. Support your decision using a scholarly reference.  
Using Excel:
Develop a flowchart for the proposed statistical inference, including specific steps.  
Compute all statistical calculations using Excel. 
Place your flowchart in a slide.
Determine if you can verify or refute the research department’s claim.
Choose sources that are credible, relevant, and appropriate. Cite each source listed on your source page at least one time within your assignment. For help with research, writing, and citation, access the library or review library guides. 
This course requires the use of Strayer Writing Standards . For assistance and information, please refer to the Strayer Writing Standards link in the left-hand menu of your course. Check with your professor for any additional instructions. 
The specific course learning outcome associated with this assignment is:
Develop recommendations to improve business processes using statistical tools and analysis.