ENGM 501: Engineering Statistics - Constructing Engineering Scenarios Based on Statistical Analysis - Engineering Assignment Help

Assignment Task:

Constructing Engineering Scenarios Based on Statistical Analysis 
 
Objective: 
 
1. To demonstrate an understanding of the techniques included in the Engineering Statistics module. 
2. To provide evidence illustrating the application of these techniques involved in analysing for an Engineering Scenario to predict maintenance cost and decision on choosing a supplier.  
3. The Attached Four Suppliers Database represent monthly data of maintenance costing and associate errors from. 
4. All suppliers’ data are attached.  
 
Introduction:

Engineering Statistics supports the engineer in: 
1. Planning and collecting engineering data; 
2. Presentation of data and formulation of hypotheses; 
3. Analysis of data, and development of engineering models/laws of the engineered systems; 
4. Use of data to make engineering decisions for product and process design, and problem-solving. 
  
Statistical Analysis Requirements: ENGM 501

1. Detailed background and introduction including a detailed literature review of previous scientific investigations on ONE of the topics below:
a. The effect of proactive and smart engineering maintenance on the service life of engineering equipment.   
b. The impact of technological innovation and smart engineering technology on the global Supply Chain Management and reverse logistics. 
c. The relationship between smart engineering development and the future of energy production and consumption.

2. Calculate descriptive statistics (mean, standard deviation, variance, range, median, quartiles, IQR) for each subset of data 
3. Make a frequency table and histograms for all variables  
4. Generate the Probability Distribution Plot for each table of data. 
5. Calculate the Confidence Interval estimate of a population means for each of data subsets. Compare the CI for each consecutive pair of data subsets. 
6. In order to prove independencies of each subset data, use Z-test, T-test and χ2 Chisquares test for the variance. Comment on all subsets data tests. 
7. Develop an estimated regression equation that can be used to predict maintenance cost given the number of errors 
8. Perform Hypotheses Testing for all data subsets and comments on the results. 
9. Based on the information provided, can you decide, which of the four suppliers is capable of meeting your specifications and requirements? Justify your answer based on the conclusion you reached from the Hypotheses testing.

This ENGM501: Engineering Assignment has been solved by our Engineering Experts at My Uni Paper. Our Assignment Writing Experts are efficient to provide a fresh solution to this question. We are serving more than 10000+ Students in Australia, UK & US by helping them to score HD in their academics. Our experts are well trained to follow all marking rubrics & referencing style.

Be it a used or new solution, the quality of the work submitted by our assignment experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed that you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.