I have attached 2 separate files, one file is the Short Project for review which is the paper you guys wrote for me back in April. The second file is the Project Outline which tells you how the write the paper. You will be using the Short Project Proposal file I have attached to add to and complete my project. I
1. Reports must be typed double spaced, Times New Roman 12 pt font, 1” margin, no more than 12 pages.
2. Use appropriate technical language
3. Here’s a suggested outline. Please note that your specific project may not fit exactly into this mold. If so, please modify the outline to suit your project.
Outline
1. Introduction: Give a brief background and context for your project and what its purpose is. End the introduction with a precise statement of the goal of the project. It may be something like: I will investigate the effect of A, B, C on D and E.
2. Methods: Write about the methods that you have used to collect the data. This is where you will describe the experimental design. If the data has already been gathered, please describe the data collection method. If you are using an existing data set that you did not collect, then describe the variables in the data set and the way the data was collected to the best of your knowledge. Clearly identify
a. Independent variables – the variables that you can control; these are also the predictor variables or variables whose influence you are studying
b. Dependent variables – the outcome or response variables.
c. Nuisance variables – variables that affect the outcome but are not of interest in your study e.g. Suppose you are studying the influence of speed, feed and depth of cut on the surface roughness of machined parts. The speed, feed and depth of cut are the independent variables, the surface roughness is the dependent variables. Factors such as the time of the day, the operator, the quality of the raw material are nuisance factors.
3. Analysis and results: First describe the data. Give the mean and standard deviation for each variable. Do box plots etc. to give a sense of what the data contains. Then describe the procedure that you used to analyze the data (regression, ANOVA, residuals etc). Then describe the results (what was significant, what are the confidence intervals etc)
4. Discussion: Discuss the results by exploring what the results mean. If applicable, discuss your results in the context of previous experiments or literature.
5. Conclusion: Summarize your findings.
Instructions:
1. Reports must be typed double spaced, Times New Roman 12 pt font, 1” margin, no more than 12 pages.
2. Use appropriate technical language
3. Here’s a suggested outline. Please note that your specific project may not fit exactly into this mold. If so, please modify the outline to suit your project.
Outline
1. Introduction: Give a brief background and context for your project and what its purpose is. End the introduction with a precise statement of the goal of the project. It may be something like: I will investigate the effect of A, B, C on D and E.
2. Methods: Write about the methods that you have used to collect the data. This is where you will describe the experimental design. If the data has already been gathered, please describe the data collection method. If you are using an existing data set that you did not collect, then describe the variables in the data set and the way the data was collected to the best of your knowledge. Clearly identify
a. Independent variables – the variables that you can control; these are also the predictor variables or variables whose influence you are studying
b. Dependent variables – the outcome or response variables.
c. Nuisance variables – variables that affect the outcome but are not of interest in your study e.g. Suppose you are studying the influence of speed, feed and depth of cut on the surface roughness of machined parts. The speed, feed and depth of cut are the independent variables, the surface roughness is the dependent variables. Factors such as the time of the day, the operator, the quality of the raw material are nuisance factors.
3. Analysis and results: First describe the data. Give the mean and standard deviation for each variable. Do box plots etc. to give a sense of what the data contains. Then describe the procedure that you used to analyze the data (regression, ANOVA, residuals etc). Then describe the results (what was significant, what are the confidence intervals etc)
4. Discussion: Discuss the results by exploring what the results mean. If applicable, discuss your results in the context of previous experiments or literature.
5. Conclusion: Summarize your findings.