SEN700 T1 2016 Assignment 2 Page 1 of 2 Assignment 2: Statistical Data Collection and Interpretation Objective: This assessment task requires students to collect and interpret data associated with the problem identified in assessment task1. You are required to submit a report on statistical data collection and interpretation. A Brief Description of assessment task In this assessment task you will be required to identify appropriate methods of data collection and interpretation. Apply both qualitative and quantitative statistical analyses to your problem scenario in engineering research. You are required to identify sources of potential errors, e.g. instrument and its method of use (research technique). You will also be required to interpret as well as apply one-dimensional and two-dimensional statistical analyses of your research related datasets. You also need to carry out a quality check of the data to statistically determine its validity, reliability and limitations using established engineering techniques and to determine whether the data provides sufficient evidence to solve your engineering problem. Finally you are required to propose solutions to add to or improve the quality of the data. Identify the sort or type of data that you will collect and how will the collect it. Statistics is used to find a pattern within data, present the data so it is meaningful to a professional audience. What You Need to Do: This is an individual report. You will be required to submit a technical report that summarises statistical analyses and presents supporting graphs, tables, and interpretation of the data, findings, recommendations and conclusion. There is no word limit, you can give as much as information in this report. Requirements for this Assignment ● This assignment is to be undertaken individually by all students. Make sure that any analysis you present is your own not simply a summary of what is presented in source or reference materials. Don't cheat or plagiarise. ● Please follow the assignment requirements, which will be assessed with a rubric. ● Use data analyzing software such as MS Excel. ● A simple text-based/graphical format is all that is needed with the report layout consisting of a few sections of text (with section headings). For example, a simple layout consisting of sections such as 1. Define your sample based on your research question. 2. Define - What are the parameters affecting your sample. 3. Determine the number of sample required for every parameter (please follow lecture notes on week6). 4. Define – Collected data based on step 3. 5. Determine mean, standard deviation, co-efficient of variation. 6. Plot normal distribution based on your work in step 5. 7. Determine co-efficient of correlation among the parameters affecting the success/accuracy of your sample. 8. Discuss on the result relating to your research question. ● Explain the reason for choosing the sample and parameters affecting the sample. ● Cite all the articles where you have collected all your samples. ● Show all the detailed calculations. ● Represent all the results in graphical form. ● Just use a basic and common text font such as Arial or Times New Roman with at least 10-point font size for body text. Single-spaced paragraphs are acceptable. (This document uses Arial 10 single-spaced in the body text.) ● Your submitted report will be marked according to the marking rubric attached to this document. The rubric also indicates what Unit Learning Outcomes (ULOs) and Graduate Learning Outcomes (GLOs) are considered in the marking scheme for this assignment. ● This assignment is worth 30 marks of the total assessment for this unit in this trimester. ● This requires you to develop and deliver a written report that is both informative and concise. SEN700 T1 2016 Assignment 2 Page 2 of 2 Submission Deadline ● Your report must be submitted on CloudDeakin in the Assignment 2 drop box by Monday 2nd May 2016 by 11:59pm (Geelong Time). Submit your report document as a Microsoft Word (.doc or .docx) file. Hard copies and other electronic file formats will not be accepted for marking.