ASSESSMENT BRIEF 3: Calculations

Summary

This is an individual assessment where you will complete a series of statistical calculations, analyses and interpretations of the data and its meaning based on an assigned case study of a Rube Goldberg Machine. You will be assigned a specific scenario based on their last names. Folders for students with an alpha range of last names will be available at the beginning of week 5. The task will resemble the scenario that we will be using in class to calculate statistical operations, perform data analyse and interpret the data. The rubric will also be integrated into the evaluation of written examples to provide an understanding of how your work will be marked. You will be able to use this as an exemplar for completing your assessment 3.

What will you be doing that covers the Unit Learning Outcome: apply basic statistical analysis to engineering applications.

Week 2:

• The engineering application used for this ULO is the Rube Goldberg machine and we will be evaluating the effectiveness of the machine and the risk that each stage of the machine contributes to the overall success of the machine.
• You will clean the data (data calibration), look at the data presented and determine the chance of success and failure for each stage Week 3:
• You will use the sigma process to evaluate the risk level for the machine – this is used by engineers in the industry •        You will analyse the risk and look at how you can make modifications to the machine to improve the success rate Week 4:
• You will use graphs and charts to display the information so it is more easily understood
• You will look at the frequencies of the events and explain what the various charts and graphs tell you about the data

Week 5:

• You will analyse the times for the stages and determine the likelihood of meeting the time requirements for each stage and the overall time requirements for the whole machine
• You will analyse the data and use descriptive statistics to discuss the time values for the stages and the machine as a whole

Rationale

Through the use of a Rube Goldberg Scenario, you will gain the ability to recognise specific types of statistical operations and when and why they were used. You will be able to evaluate the data and recognise statistical trends and be able to evaluate where there is the highest chance of risk (failure) occurring. These skills and knowledge align with ULO 3: apply basic statistical analysis to engineering applications, as you will be evaluating a working machine that has gone through testing with many successes and failures along the way. In any construction work environment being able to predict the risk of various parts of the project is an important part of site safety and the integrity of the construction project. In each of the modules, there are important concepts of statistics that are presented that we will then practice on the provided case study during each of the weekly tutorials (Weeks 2-5). It is important that you review the online content and the case scenario section for that week prior to attending the tutorials so that you are able to get the most out of the calculations each week.

• For this task, you will first be provided with guided practices on similar statistical calculations, data analysis and interpretation based on a case study that we will work through in Weeks 2-5 (see list in Task Description).
• The work in class will directly reflect what you will need to complete on your Calculation Assessment 3.
• We will also review the marking rubric each week to evaluate the level of examples provided so you are clear on what level of work you need to do to reach a Pass or higher.
• I will also show you how to complete any relevant calculations in Excel when required and how to use Word for showing equations and calculation workings
• For all equations that are being used for the first time, you must show all workings with an explanation of what you are doing – pretend you are teaching someone else what to do- you can then just show the numbers in the equation and the answer.
• Make sure to check answers for the correct number of significant figures as indicated in the instructions for the case study.
• For any areas where you need to research an industry standard, you will need to have at least two reference sources that you have used.

Resources

You will use the content within the online modules weeks 2-5 and the case study exemplar to complete this assessment

Referencing style

Please include a reference list and use APA7 as a guide for your in-text citations and reference list. You will need to find a few journal articles and/or government frameworks to support some of the decisions you will make about what an appropriate risk level is for the Rube Goldberg Scenario.

Submission

You will submit your completed Calculations in a word document to Turnitin. A submission link is provided in the Assessment tasks and Submission area in Blackboard in the 3. Calculations folder. You will need to submit your assessment by 11:59 pm (NSW) AEST Monday the 3rd of October

Your grades for this assessment will be released on Monday 10th of October at 11:59 pm. You will be able to access your grades through Grades and Feedback in Blackboard.

Assessment Criteria & Rubrics

A marking Rubric for your assessment has been included with descriptors for each of the levels of achievement. We will use this rubric to evaluate the case study workings each week so you are able to judge the quality of your own work for this task.

Assessment Rubric

Note: The number of criteria used will vary depending on the complexity of the assessment task. Typically, 4-5 criteria are used.

High Distinction+:

Achieves all the criteria for a high distinction to an exemplary standard, without any errors.

High Distinction:

The student’s performance, in addition to satisfying all of the basic learning requirements, demonstrates distinctive insight and ability in researching, analysing and applying relevant skills and concepts, and shows exceptional ability to synthesise, integrate and evaluate knowledge. The student’s performance could be described as outstanding in relation to the learning requirements specified.

Distinction:

The student’s performance, in addition to satisfying all of the basic learning requirements, demonstrates distinctive insight and ability in researching, analysing and applying relevant skills and concepts, and shows a well-developed ability to synthesise, integrate and evaluate knowledge. The student’s performance could be described as distinguished in relation to the learning requirements specified.

Credit:

The student’s performance, in addition to satisfying all of the basic learning requirements specified, demonstrates insight and ability in researching, analysing and applying relevant skills and concepts. The student’s performance could be described as competent in relation to the learning requirements specified.

Pass:

The student’s performance satisfies all of the basic learning requirements specified and provides a sound basis for proceeding to higher-level studies in the subject area. The student’s performance could be described as satisfactory in relation to the learning requirements specified.

Fail:

The student’s performance fails to satisfy the learning requirements specified.

Absent Fail:

Not attempted.

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