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Assessment item 1Assignment 1 (COIT20247 T2 2018) Due date:Friday of Week 5 (11:45 pm AEST, August 10, 2018)Weighting:30%Length:N/Objectives To develop a conceptual data model diagram To perform logical
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01
Determine the purpose of the weighting. Are you trying to assign different levels of importance or value to certain elements?
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Identify the elements or variables that you want to assign weights to. These could be different factors, criteria, or attributes.
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Assign a weight or importance value to each element. This could be a numerical value or a relative weight compared to other elements. The total weights should add up to 1 or 100%.
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Consider the impact of each weight on the overall outcome or decision. Make adjustments if necessary to ensure the desired outcome is achieved.
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Apply the weights to the elements in your analysis or decision-making process. Multiply each element's value or score by its assigned weight.
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Evaluate the results of the weighting. Analyze the weighted scores or values to determine the overall impact of each element on the final outcome.
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Iterate and refine the weighting process if needed. Adjust the weights based on feedback, new information, or changes in priorities.

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Weighting is a method used in various contexts, such as statistics and economics, to adjust the relative importance of different elements in a dataset or calculation to ensure accurate representation or comparison.
Individuals or entities that are involved in activities or processes requiring the reporting of weighted data, such as businesses engaged in financial reporting or certain regulatory compliance.
Filling out weighting typically involves gathering relevant data, applying the appropriate weights based on the criteria defined for the specific context, and accurately reporting this information according to the prescribed format or guidelines.
The purpose of weighting is to ensure that different elements in a dataset contribute appropriately to the overall outcome, accounting for discrepancies in importance, size, or influence.
Required information generally includes the weighted values, the criteria or method used for weighting, and any relevant supplementary data that supports the calculations presented.
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