# Assessment 1: Five bi-weekly quizzes

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There are five assessment quizzes and each quiz occupies 4% of the total mark for this unit.

You have only one chance to attempt each assessment quiz.

0 %0 of 7 topics complete

Show data table for This chart displays the number of completed topics versus the total number of topics within module Assessment 1: Five bi-weekly quizzes..

List of Topics and Sub-Modules for Assessment 1: Five bi-weekly quizzes

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Quiz

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Due 06 December at 8:00 PM

Starts 22 November, 2022 8:30 PM

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Time Allowed: 1 hr
# of Attempts: 1

There are 8 questions in total:

• 4 questions are on Week 1 Content: Big Data, Data Ecosystems, Ethics & Privacy.
• 1 question will involve researching R functions.
• 3 questions are on Week 2 Content: Aggregation functions and their properties.

You are definitely encouraged to have RStudio and a separate browser tab open for you to consult your weekly content and/or external resources as needed.

Once you finish the quiz, only the blue arrow indicates the correct solution. The tick or cross indicates whether your answer is right.

Quiz

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Due 20 December at 8:00 PM

Starts 06 December, 2022 8:30 PM

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Time Allowed: 1 hr
# of Attempts: 1

There are 4 questions in total:

• 1 question involves matching the correct probability distribution to a given scenario.
• 1 question is tangentially related to data cleaning.
• 2 questions are on choosing and deriving appropriate transformations.

You are definitely encouraged to have a separate browser tab open for you to consult your weekly content and/or external resources as needed.

Once you finish the quiz, only the blue arrow indicates the correct solution. The tick or cross indicates whether your answer is right.

Quiz

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Due 10 January, 2023 8:00 PM

Starts 20 December, 2022 8:30 PM

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Time Allowed: 1 hr 30 minutes
# of Attempts: 1

There are 6 questions in total:

• 1 question involves interpreting the behaviour of weighted aggregation functions (weighted arithmetic, geometric, harmonic and power means).
• 1 question involves the Borda count.
• 2 questions involve interpreting OWA weights.
• 2 questions involve analysing an output from AggWaFit718.R.

You are definitely encouraged to have a separate browser tab open for you to consult your weekly content and/or external resources as needed.

Once you finish the quiz, only the blue arrow indicates the correct solution. The tick or cross indicates whether your answer is right.

Note that if you select an incorrect answer in the MCQ, then you will a negative score. Without negative scoring, students can select all answers to get full marks.

Quiz

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Due 24 January, 2023 8:00 PM

Starts 10 January, 2023 8:30 PM

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Time Allowed: 2 hrs
# of Attempts: 1

There are 4 questions in total:

• 1 question will involve modelling and solving a 2-3 variable LP.
• 1 question is a True/False question testing your knowledge of transportation supply/demand concepts.
• 1 question will involve modelling and solving a transportation-type problem.
• 1 question will involve modelling and solving a non-transportation problem.

It is highly recommended to have RStudio open with a variety of existing models open as templates for you to adapt for the models in this quiz. You must also be familiar with using lpSolveAPI and how to obtain solutions from the models written in lpSolveAPI.

Once you finish the quiz, only the blue arrow indicates the correct solution. The tick or cross indicates whether your answer is right.

Quiz

Top of Form

Due 07 February, 2023 8:00 PM

Starts 24 January, 2023 8:30 PM

Bottom of Form

Time Allowed: 1 hr 30 minutes
# of Attempts: 1

There are 4 questions in total:

• 3 questions will provide you with a payoff matrix and require you to calculate and/or identify the correct pure/mixed strategies. The mixed strategy can be obtained through a graphical method or linear programming.
• 1 question will give you a scenario in which you’ll be required to come up with the payoff matrix, and solve the game.

You are definitely encouraged to have a separate browser tab open for you to consult your weekly content and/or external resources as needed. In addition, having RStudio open with existing models for you to adapt/modify as needed will help should linear programming be required. You must also be familiar with using lpSolveAPI and how to obtain solutions from the models written in lpSolveAPI.

Once you finish the quiz, only the blue arrow indicates the correct solution. The tick or cross indicates whether your answer is right.

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