MDA511: Mathematical and Statistical Methods Assignment Help for Melbourne Institute

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Assessment Details and Submission Guidelines
Unit Code	MDA511
Unit Title	Mathematical and Statistical Methods
Term, Year	T2, 2023
Assessment Type	Formative Assignment 1, Individual
Assessment Title	Australian Weather Statistical Data and Interpretation
Purpose of the assessment (with ULO Mapping)	This assignment assessesthe following Unit Learning Outcomes;studentsshouldbe able to demonstrate their achievements in them. a. Develop knowledge and skills in using statistics to interpret data.
Weight	10% of the total assessment
Total Marks	25
Word limit	Minimum 700 words
Due Date	Week 3, Monday, 31st July 2023, 23:59 PM
Submission Guidelines	• All work must be submitted on Moodle by the due date. • The assignment must be in MS Word format, 1.5 spacing, 11-pt Calibri (Body) font, and 2 cm margins on all four sides of your page with appropriate section headings. • Reference sources must be cited in the text of the report and listed appropriately at the end in a reference list using IEEE referencing style. • Students must ensure before submission of the final version of the assignment that the similarity percentage as computed by Turnitin must be less than 10%. Assignments with more than 10% similarity may not be considered for marking.
Extension	If an extension of time to submit work is required, a Special Consideration Application must be submitted directly on AMS. You must submit this application three working days prior to the due date of the assignment. Further information is available at: https://www.mit.edu.au/about-us/governance/institute-rules-policies-and plans/policies-procedures-and-guidelines/assessment-policy.
Academic Misconduct	Academic Misconduct is a serious offense. Depending on the seriousness of the case, penalties can vary from a written warning or zero marks to exclusion from the course orrescinding the degree. Students should make themselvesfamiliar with the full policy and procedure available at: https://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and guidelines/AcademicIntegrityPolicyAndProcedure. For further information, please refer to the Academic Integrity Section in your Unit Description.

Prepared by: Dr Anies Hannawati Moderated by: Dr Md Asad Asaduzzaman July, 2023

2023 T2 Mathematical and Statistical Methods Page 2 of 3 ASSIGNMENT DESCRIPTION

The main aims of this task are to provide students with the ability to carry out self-directed research and obtain trustworthy weather information from reputable sources. Students will acquire the skills needed to precisely collect, comprehend, and handle data, and utilise this data to generate insightful inferences. This procedure will allow students to acquire a comprehensive understanding of the data, the analytical process, and the art of presenting their findings in an accurate and efficient manner. Additionally, the final submission is expected to include high-quality bibliographies that reinforce the deductions derived from the data.

Task 1 Data Gathering and Descriptive Analysis [10 marks]

As a requirement for this task, you need to collect weather statistics for the Australian suburb where you reside. You can do this by visiting the website of the Australian Bureau of Meteorology at http://www.bom.gov.au. Extract weather data for a twelve-month period between July 2022 and June 2023, focusing on mean temperature and humidity data for either the morning or afternoon data. Once you have collected the necessary data, your task is to create tables and graphs of weather statistics for your chosen locations. In your report, describe how you obtained the data from the website and explain your tables and graphs in detail. This includes providing a more comprehensive analysis of the graphs, such as identifying any specific weather patterns and possible correlations among them.

Task 2 Mathematical Model and Derivative [10 marks]

In this task, your objective is to create a mathematical model function for both data sets. This involves providing a detailed explanation to justify the choice of the model and explaining the importance of developing the model. Additionally, you should plot the derivatives of the functions, show all calculations and formulas used, and provide an explanation of the use of the derivative function. Ensure that your explanations are comprehensive and provide a clear understanding of how the derivatives were obtained. This will enable readers to understand the reasoning behind your work and how the derivatives are related to the original functions. You could utilise any relevant software tools like Phyton or Microsoft Excel to perform calculations and create charts or graphs. Ensure to use appropriate units of measurement and terminology throughout your work. To ensure the accuracy and reliability of your findings, it is recommended to refer to at least three reliable sources such as journals, conference papers, websites, or other reputable sources published or updated within the last five years (2018-2023).

MARKING CRITERIA

Task	Description	Marks
Task 1 Data Gathering and Descriptive Analysis	• Weather data are provided accurately. • Written report regarding gathering the data. • Descriptive analysis of the given data, including explanations of weather patterns and possible correlations.	10
Task 2 Mathematical Model and Derivative	• Develop mathematical models that are supported by clear justifications and explanations. • Provide and explain the derivatives of the functions with clear justifications supporting your calculations.	10
Reference Style and Presentation	• Follow IEEE reference style and should have both in-text citations and reference list. • Nice presentation of the report including format report, spelling, and grammar.	2.5 2.5
Total		25

Prepared by: Dr Anies Hannawati Moderated by: Dr Md Asad Asaduzzaman July, 2023

2023 T2 Mathematical and Statistical Methods Page 3 of 3 MARKING RUBRIC

Grades

>=80%

70%-79%

60% – 69%

50% – 59%

<50%

Task 1

Data Gathering and Descriptive Analysis

The report is

exceptional in terms of data collection,

graph design, analysis, and

written report structure. It

shows a

thorough

understanding of weather

statistics and

provides

insightful

observations of the data.

The report is

very good in

terms of data collection,

graph design, analysis, and

written report structure. It

shows a good understanding of weather

statistics and

provides some insightful

observations of the data.

The report is

good in terms of data

collection,

graph design, analysis, and

written report structure. It

shows a basic understanding of weather

statistics and

provides some observations of the data.

The report is

satisfactory in terms of data collection,

graph design, analysis, and

written report structure. It

shows a limited understanding of weather

statistics and

provides

minimal

observations of the data.

The report is

unsatisfactory in terms of data collection,

graph design, analysis, and

written report structure. It

shows a poor

understanding of the weather statistics and

provides no

observations of the data.

Task 2

Mathematical Model and

Derivative

Mathematical models are

clear, well

justified, and

include

accurate

derivatives that support

calculations

and

demonstrate a comprehensive understanding of the

concepts.

Mathematical models are

mostly clear

and justified,

with mostly

accurate

derivatives that support

calculations

and

demonstrate a good

understanding of the

concepts.

Adequate

mathematical models with

some

justifications

and mostly

supported

derivatives that demonstrate a basic

understanding of the

concepts.

Basic

mathematical models with

limited

justification

and partially

supported

derivatives that demonstrate a limited

understanding of the

concepts.

Mathematical models are

incomplete or incorrect, with little or no

justification,

and

unsupported

derivatives that demonstrate a poor

understanding of the

concepts.

Reference

Style and

Presentation

Clear styles

with an

excellent

source of

references.

The report is

presented

professionally.

Clear

referencing

style.

The report is

written

properly with

some minor

mistakes.

Generally good referencing

style.

The report is

mostly good,

but some

structure or

presentation

problems.

Unclear

referencing

style.

The report is

presented

acceptably.

Lacks

consistency

with many

errors.

The report is

presented

carelessly with poor structure.

Prepared by: Dr Anies Hannawati Moderated by: Dr Md Asad Asaduzzaman July, 2023