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FIT1006-stat代写-Assignment 1

时间：2023-04-18

FIT1006 ASSIGNMENT 2: DATA ANALYSIS

Purpose In Assignment 1, we collected a dataset within the class. This task involves

analysing that dataset.

Assessed Unit Learning Outcomes:

1. Perform and justify the use of appropriate descriptive and inferential

statistical analyses such as standard deviation, t-tests, and Pearson's

correlation coefficients

2. Communicate the results of statistical analysis effectively and accurately

3. Create graphics and tables for effective communication of the results of

data analysis

4. Analyse the factors that make statistics reliable, credible and trustworthy

Your task You will write a written report of up to 2000 words, which will cover matters

including:

• Visualising the data in question.

• Hypothesis testing.

• Critically assessing the investigation that you have conducted.

Value 45% of your total marks for the unit

Word Limit 2000 words (excluding references and charts)

Due Date Friday 05th of May 2023, 11:55 pm

Submission • Via Moodle Assignment Submission.

• Turnitin will be used for similarity checking of all submissions.

Assessment

Criteria

The assessment criteria is as given in Annex A.

Late Penalties • If you are late, then you lose 5% of the available marks for the assignment

for each calendar day (or part of calendar day) you are late.

• If you are 7 or more days late, then you will obtain a mark of zero for this

assignment. It is possible to obtain an extension to this assignment

deadline by way of the special consideration procedure, but only if you

have extenuating circumstances.

Support

Resources

See Moodle Assessment page:

• Annex A (Marking rubric)

Feedback Feedback will be provided on student work via specific student feedback post

submission.

Page 2 of 6

A. Introduction

In Assignment 1, we collected a dataset within the class. This task involves analysing that

dataset. You will write a written report of up to 2000 words, which will cover matters

including:

1. Visualising the data in question.

2. Hypothesis testing.

3. Critically assessing the investigation that you have conducted.

This assignment is worth 45% of the overall mark for FIT1006.

B. When is my assessment due?

Your assessment is due on Friday the 5th of May 2023 at 11:55pm. If you are late, then

you lose 5% of the available marks for the assignment for each calendar day (or part of

calendar day) you are late. If you are 7 or more days late, then you will obtain a mark of

zero for this assignment. It is possible to obtain an extension to this assignment deadline

by way of the special consideration procedure, but only if you have extenuating

circumstances.

C. What am I required to do?

You are required to identify an issue or question related to the data and conduct an

statistical investigation. For this investigation you should prepare a written report of up

to 2000 words (excluding references and images). This report should be in three parts:

A. Data visualisation and Descriptive Statistics. You should identify a topic of

concern and perform descriptive analysis using (i) appropriate summary

statistics and (ii) visualisations of the data using appropriate charts. Your written

text should explain these statistics and visualisations, including how they relate

to your topic of concern.

B. Hypothesis testing. You should specify (i) at least one hypothesis in respect of

your topic of concern (ii) at least one null hypothesis and (iii) conduct an

evaluation of the said hypothesis using inferential statistics (including how the

test was chosen, whether any data was excluded, and any other design decisions

that you took). You must use the dataset we have collected, and you may use

additional datasets that you can find.

C. Critical Assessment. You should write a critical reflection as part of your report.

This will discuss the strengths and limitations of your statistical study, and how

you might build upon it in the future.

For this assignment, we will give you a individual dataset, which you must use. This

will be the data collected by the class, however you will be given only a random subset

of this (to make the assignment unique to you). To access this, please download the

ZipFile on Moodle, and use the file associated with your student ID.

Important: A marking rubric is provided in Annex A. Please consider this carefully, as

it is a guide to how you will be assessed and the weighting for each criterion.

D. What support will I be given with this assignment?

This is an important assignment and we will provide support to assist with this. In

particular, we will provide:

• Online material where you will be supported in learning the course.

Page 3 of 6

• Tutorials to develop your understanding of implementing the relevant statistical

methods.

• Individual consultations to review a draft of your assignment (15 minute

appointments: bring a draft, a calendar will be published on Moodle).

E. Some Questions and Answers

1. Does the word count include diagrams and references.

The word count excludes references and diagrams. However, you are encouraged to

present a focussed and clear report. 25% of the marks are awarded for quality of

communication.

2. If I write a report that is less than 2000 words, will I receive a lower mark?

No. You are encouraged to write in a concise and focussed manner. 2000 words is a limit,

not a target.

3. What is the difference between a ‘topic of concern’ and a hypothesis?

A topic of concern is a wider area of investigation, whilst a hypothesis is directly testable

following an inferential statistical method (e.g. a t-test or an ANOVA).

4. Must I obtain a statistically significant result?

No. The idea is that you conduct an effective investigation, rather than obtain a particular

result. You are marked on completing the process correctly and how clearly you

communicate the outcome, as well as you critical reflection on the process and conduct of

the experiment.

5. May I reuse material from Assignment 1 in this written report?

You may not resubmit text from your written commentary in Assignment 1 for this

assignment. Nor may you reuse any material from any other course.

6. What happens if I write a report that is longer than 2000 words

If an assignment is overlength, then your marker has the right to stop reading (and

marking) at 2000 words. Furthermore, it is likely you will be penalised in Criterion 4

(which relates to quality of communication).

7. May I use Generative AI?

Chat GPT is not going to help you with this assignment, but I have not expressly banned

it.

Page 4 of 6

Annex A: Marking Rubric

Grade (and

University

General

Assessment

Criteria1)

Criterion 1: Data

Visualisation (25%)

Criterion 2: Hypothesis

testing (25%)

Criterion 3: Critical

Assessment (25%)

Criterion 4: Quality of

Communication (25%)

N (0%-49%).

Lack of satisfactory

demonstration of

fundamental

knowledge, skills and

expected

attributes.

The data analysis comprises

charts and descriptive

statistics, however there are

serious errors (e.g. the charts

are difficult to understand, or

the summary statistics do not

follow a recognised approach).

Most of the charts and

descriptive statistics do not

clearly fit within the narrative

of the section.

No clear hypothesis (or null

hypothesis) is identified. No

recognised statistical

approach was identified and

followed.

The critical assessment is

very brief in content (e.g.

100-300 words excluding

references) and does not

contain any critical thought

about the conduct of the

statistical investigation or

any other relevant matters.

It contains no references to

existing literature.

The report is difficult to

follow. There is little or no

accurate use of

terminology.

P (50%-59%)

Demonstration of

fundamental

knowledge, skills and

attributes at a

satisfactory level.

The data analysis comprises

mostly clear charts and

descriptive statistics, with

some significant errors or

inaccuracies. Some of the

charts and descriptive

statistics fit within the

narrative of the section.

There is the identification of

a hypothesis and null

hypothesis, however there

are significant flaws with

these (e.g. the null

hypothesis is not clearly a

null hypothesis, or the

hypothesis is vague and

unfocussed). A recognised

statistical approach was

identified and followed, but

there were some serious

flaws with the selected

approach (e.g. the wrong

type of test was applied, or

The critical assessment is

brief in content (e.g. 100-400

words excluding references).

It contains very limited

critical thought about the

conduct of the statistical

investigation or any other

matters. It does contain one

or more references to

literature, but this is either

poor quality (and not

academic), or not clearly

connected to the argument

being made.

The report is quite difficult

to follow. The use of

terminology is often

inaccurate.

1 https://www.monash.edu/__data/assets/pdf_file/0006/2300928/Grading-Schema-Procedure.pdf

Page 5 of 6

major issues were

overlooked). The calculations

made may also contain

errors.

C (60%-69%)

Demonstration of

fundamental

knowledge, skills and

attributes at a

proficient level,

showing fluency in

concepts.

The data analysis comprises

mostly clear charts and

descriptive statistics, with

only minor errors or

inaccuracies. Most charts and

descriptive statistics fit within

the narrative of the section.

There is the identification of

a hypothesis and null

hypothesis, however there

are minor flaws with these

(e.g. the hypothesis is not

fully clear). A recognised

statistical approach was

identified and followed, but

there were some flaws (e.g. a

minor statistical issue was

overlooked). The calculations

made may also contain

minor errors or inaccuracies,

however the student has

demonstrated they

understand how to apply the

test in question.

The critical assessment is of

a reasonable length (i.e >=

400 words including

references). It contains some

critical thought about the

conduct of the statistical

investigation or any other

relevant matters. It also

contains one or more

references to appropriate

literature, that are clearly

integrated into the

commentary.

The report is mostly easy

to read and understand,

mostly accurate use of

terminology.

D (70%-79%)

Demonstration of

extended knowledge,

skills and attributes

at a superior level,

showing fluency and

emerging originality

and integration of

concepts

The data analysis comprises

clear charts and descriptive

statistics, with only minor

errors or inaccuracies. All

charts and descriptive

statistics fit within the

narrative of the section.

There is the clear

identification of a hypothesis

and a null hypothesis. A

recognised statistical

approach was followed

without errors made in the

approach. The calculations

made may also contain

minor errors or inaccuracies,

however the student has

demonstrated they

understand how to apply the

test in question.

The critical assessment is of

a reasonable length (i.e >=

400 words including

references). It comprises

significant critical thought

about the conduct of the

statistical investigation or

any other relevant matters.

This critical thought

considers multiple aspects of

the statistical investigation.

It also contains multiple

references to appropriate

literature, that are clearly

and persuasively integrated

into the commentary.

The written text is mostly

focussed, with only the

occasional digression from

the arguments being made.

The report is easy to read

and understand, with

mostly accurate use of

terminology.

Page 6 of 6

Lower HD (80%-

89%)

Demonstration of

extended knowledge,

skills and attributes

at an exceptional

level, showing

fluency, originality

and integration of

concepts.

The data analysis comprises

correctly prepared charts and

descriptive statistics. All

charts and descriptive

statistics are carefully

selected to fit within the

narrative of the section.

There is the clear

identification of a hypothesis

and a null hypothesis. A

recognised statistical

approach was followed

without errors made in the

approach. There is evidence

of some innovation in

approach, for example the

identification of a statistical

approach or issue beyond the

course in question, or a

relatively challenging

statistical approach was

followed. The calculations

made contain no errors.

The critical assessment is of

a reasonable length (i.e >=

400 words including

references). It comprises

insightful critical thought

about the conduct of the

statistical investigation or

any other relevant matters.

This critical thought

considers multiple aspects of

the statistical investigation.

It also contains multiple

references to carefully-

selected literature, that are

clearly and persuasively

integrated into the

commentary.

The written text is

focussed, without notable

prolixity. The report is easy

to read and understand,

with fully accurate use of

terminology.

Upper HD (90%-

100%)

Demonstration of

extended knowledge,

skills and attributes

at an exceptional

level, showing

fluency, originality

and integration of

concepts.

The data analysis comprises

correctly prepared charts and

descriptive statistics. All

charts and descriptive

statistics are carefully

selected to fit within the

narrative of the section. There

is evidence of some innovation

in approach, for example the

identification of a statistical

approach or chart beyond the

course in question.

There is the clear

identification of a hypothesis

and a null hypothesis. A

recognised statistical

approach was followed

without errors made in the

approach. There is evidence

of some innovation in

approach, for example the

identification of a statistical

approach or issue beyond the

course in question. A

relatively challenging

statistical approach was

followed. The calculations

made contain no errors.

The critical assessment is of

a reasonable length (i.e >=

400 words including

references). It comprises

insightful and original

critical thought about the

conduct of the statistical

investigation or any other

relevant matters. This

critical thought considers

multiple aspects of the

statistical investigation. It

contains multiple references

to carefully-selected

literature, that are clearly

and persuasively integrated

into the commentary.

The written text is fully

focussed, without prolixity.

The report is easy to read

and understand, with fully

accurate use of

terminology.

Purpose In Assignment 1, we collected a dataset within the class. This task involves

analysing that dataset.

Assessed Unit Learning Outcomes:

1. Perform and justify the use of appropriate descriptive and inferential

statistical analyses such as standard deviation, t-tests, and Pearson's

correlation coefficients

2. Communicate the results of statistical analysis effectively and accurately

3. Create graphics and tables for effective communication of the results of

data analysis

4. Analyse the factors that make statistics reliable, credible and trustworthy

Your task You will write a written report of up to 2000 words, which will cover matters

including:

• Visualising the data in question.

• Hypothesis testing.

• Critically assessing the investigation that you have conducted.

Value 45% of your total marks for the unit

Word Limit 2000 words (excluding references and charts)

Due Date Friday 05th of May 2023, 11:55 pm

Submission • Via Moodle Assignment Submission.

• Turnitin will be used for similarity checking of all submissions.

Assessment

Criteria

The assessment criteria is as given in Annex A.

Late Penalties • If you are late, then you lose 5% of the available marks for the assignment

for each calendar day (or part of calendar day) you are late.

• If you are 7 or more days late, then you will obtain a mark of zero for this

assignment. It is possible to obtain an extension to this assignment

deadline by way of the special consideration procedure, but only if you

have extenuating circumstances.

Support

Resources

See Moodle Assessment page:

• Annex A (Marking rubric)

Feedback Feedback will be provided on student work via specific student feedback post

submission.

Page 2 of 6

A. Introduction

In Assignment 1, we collected a dataset within the class. This task involves analysing that

dataset. You will write a written report of up to 2000 words, which will cover matters

including:

1. Visualising the data in question.

2. Hypothesis testing.

3. Critically assessing the investigation that you have conducted.

This assignment is worth 45% of the overall mark for FIT1006.

B. When is my assessment due?

Your assessment is due on Friday the 5th of May 2023 at 11:55pm. If you are late, then

you lose 5% of the available marks for the assignment for each calendar day (or part of

calendar day) you are late. If you are 7 or more days late, then you will obtain a mark of

zero for this assignment. It is possible to obtain an extension to this assignment deadline

by way of the special consideration procedure, but only if you have extenuating

circumstances.

C. What am I required to do?

You are required to identify an issue or question related to the data and conduct an

statistical investigation. For this investigation you should prepare a written report of up

to 2000 words (excluding references and images). This report should be in three parts:

A. Data visualisation and Descriptive Statistics. You should identify a topic of

concern and perform descriptive analysis using (i) appropriate summary

statistics and (ii) visualisations of the data using appropriate charts. Your written

text should explain these statistics and visualisations, including how they relate

to your topic of concern.

B. Hypothesis testing. You should specify (i) at least one hypothesis in respect of

your topic of concern (ii) at least one null hypothesis and (iii) conduct an

evaluation of the said hypothesis using inferential statistics (including how the

test was chosen, whether any data was excluded, and any other design decisions

that you took). You must use the dataset we have collected, and you may use

additional datasets that you can find.

C. Critical Assessment. You should write a critical reflection as part of your report.

This will discuss the strengths and limitations of your statistical study, and how

you might build upon it in the future.

For this assignment, we will give you a individual dataset, which you must use. This

will be the data collected by the class, however you will be given only a random subset

of this (to make the assignment unique to you). To access this, please download the

ZipFile on Moodle, and use the file associated with your student ID.

Important: A marking rubric is provided in Annex A. Please consider this carefully, as

it is a guide to how you will be assessed and the weighting for each criterion.

D. What support will I be given with this assignment?

This is an important assignment and we will provide support to assist with this. In

particular, we will provide:

• Online material where you will be supported in learning the course.

Page 3 of 6

• Tutorials to develop your understanding of implementing the relevant statistical

methods.

• Individual consultations to review a draft of your assignment (15 minute

appointments: bring a draft, a calendar will be published on Moodle).

E. Some Questions and Answers

1. Does the word count include diagrams and references.

The word count excludes references and diagrams. However, you are encouraged to

present a focussed and clear report. 25% of the marks are awarded for quality of

communication.

2. If I write a report that is less than 2000 words, will I receive a lower mark?

No. You are encouraged to write in a concise and focussed manner. 2000 words is a limit,

not a target.

3. What is the difference between a ‘topic of concern’ and a hypothesis?

A topic of concern is a wider area of investigation, whilst a hypothesis is directly testable

following an inferential statistical method (e.g. a t-test or an ANOVA).

4. Must I obtain a statistically significant result?

No. The idea is that you conduct an effective investigation, rather than obtain a particular

result. You are marked on completing the process correctly and how clearly you

communicate the outcome, as well as you critical reflection on the process and conduct of

the experiment.

5. May I reuse material from Assignment 1 in this written report?

You may not resubmit text from your written commentary in Assignment 1 for this

assignment. Nor may you reuse any material from any other course.

6. What happens if I write a report that is longer than 2000 words

If an assignment is overlength, then your marker has the right to stop reading (and

marking) at 2000 words. Furthermore, it is likely you will be penalised in Criterion 4

(which relates to quality of communication).

7. May I use Generative AI?

Chat GPT is not going to help you with this assignment, but I have not expressly banned

it.

Page 4 of 6

Annex A: Marking Rubric

Grade (and

University

General

Assessment

Criteria1)

Criterion 1: Data

Visualisation (25%)

Criterion 2: Hypothesis

testing (25%)

Criterion 3: Critical

Assessment (25%)

Criterion 4: Quality of

Communication (25%)

N (0%-49%).

Lack of satisfactory

demonstration of

fundamental

knowledge, skills and

expected

attributes.

The data analysis comprises

charts and descriptive

statistics, however there are

serious errors (e.g. the charts

are difficult to understand, or

the summary statistics do not

follow a recognised approach).

Most of the charts and

descriptive statistics do not

clearly fit within the narrative

of the section.

No clear hypothesis (or null

hypothesis) is identified. No

recognised statistical

approach was identified and

followed.

The critical assessment is

very brief in content (e.g.

100-300 words excluding

references) and does not

contain any critical thought

about the conduct of the

statistical investigation or

any other relevant matters.

It contains no references to

existing literature.

The report is difficult to

follow. There is little or no

accurate use of

terminology.

P (50%-59%)

Demonstration of

fundamental

knowledge, skills and

attributes at a

satisfactory level.

The data analysis comprises

mostly clear charts and

descriptive statistics, with

some significant errors or

inaccuracies. Some of the

charts and descriptive

statistics fit within the

narrative of the section.

There is the identification of

a hypothesis and null

hypothesis, however there

are significant flaws with

these (e.g. the null

hypothesis is not clearly a

null hypothesis, or the

hypothesis is vague and

unfocussed). A recognised

statistical approach was

identified and followed, but

there were some serious

flaws with the selected

approach (e.g. the wrong

type of test was applied, or

The critical assessment is

brief in content (e.g. 100-400

words excluding references).

It contains very limited

critical thought about the

conduct of the statistical

investigation or any other

matters. It does contain one

or more references to

literature, but this is either

poor quality (and not

academic), or not clearly

connected to the argument

being made.

The report is quite difficult

to follow. The use of

terminology is often

inaccurate.

1 https://www.monash.edu/__data/assets/pdf_file/0006/2300928/Grading-Schema-Procedure.pdf

Page 5 of 6

major issues were

overlooked). The calculations

made may also contain

errors.

C (60%-69%)

Demonstration of

fundamental

knowledge, skills and

attributes at a

proficient level,

showing fluency in

concepts.

The data analysis comprises

mostly clear charts and

descriptive statistics, with

only minor errors or

inaccuracies. Most charts and

descriptive statistics fit within

the narrative of the section.

There is the identification of

a hypothesis and null

hypothesis, however there

are minor flaws with these

(e.g. the hypothesis is not

fully clear). A recognised

statistical approach was

identified and followed, but

there were some flaws (e.g. a

minor statistical issue was

overlooked). The calculations

made may also contain

minor errors or inaccuracies,

however the student has

demonstrated they

understand how to apply the

test in question.

The critical assessment is of

a reasonable length (i.e >=

400 words including

references). It contains some

critical thought about the

conduct of the statistical

investigation or any other

relevant matters. It also

contains one or more

references to appropriate

literature, that are clearly

integrated into the

commentary.

The report is mostly easy

to read and understand,

mostly accurate use of

terminology.

D (70%-79%)

Demonstration of

extended knowledge,

skills and attributes

at a superior level,

showing fluency and

emerging originality

and integration of

concepts

The data analysis comprises

clear charts and descriptive

statistics, with only minor

errors or inaccuracies. All

charts and descriptive

statistics fit within the

narrative of the section.

There is the clear

identification of a hypothesis

and a null hypothesis. A

recognised statistical

approach was followed

without errors made in the

approach. The calculations

made may also contain

minor errors or inaccuracies,

however the student has

demonstrated they

understand how to apply the

test in question.

The critical assessment is of

a reasonable length (i.e >=

400 words including

references). It comprises

significant critical thought

about the conduct of the

statistical investigation or

any other relevant matters.

This critical thought

considers multiple aspects of

the statistical investigation.

It also contains multiple

references to appropriate

literature, that are clearly

and persuasively integrated

into the commentary.

The written text is mostly

focussed, with only the

occasional digression from

the arguments being made.

The report is easy to read

and understand, with

mostly accurate use of

terminology.

Page 6 of 6

Lower HD (80%-

89%)

Demonstration of

extended knowledge,

skills and attributes

at an exceptional

level, showing

fluency, originality

and integration of

concepts.

The data analysis comprises

correctly prepared charts and

descriptive statistics. All

charts and descriptive

statistics are carefully

selected to fit within the

narrative of the section.

There is the clear

identification of a hypothesis

and a null hypothesis. A

recognised statistical

approach was followed

without errors made in the

approach. There is evidence

of some innovation in

approach, for example the

identification of a statistical

approach or issue beyond the

course in question, or a

relatively challenging

statistical approach was

followed. The calculations

made contain no errors.

The critical assessment is of

a reasonable length (i.e >=

400 words including

references). It comprises

insightful critical thought

about the conduct of the

statistical investigation or

any other relevant matters.

This critical thought

considers multiple aspects of

the statistical investigation.

It also contains multiple

references to carefully-

selected literature, that are

clearly and persuasively

integrated into the

commentary.

The written text is

focussed, without notable

prolixity. The report is easy

to read and understand,

with fully accurate use of

terminology.

Upper HD (90%-

100%)

Demonstration of

extended knowledge,

skills and attributes

at an exceptional

level, showing

fluency, originality

and integration of

concepts.

The data analysis comprises

correctly prepared charts and

descriptive statistics. All

charts and descriptive

statistics are carefully

selected to fit within the

narrative of the section. There

is evidence of some innovation

in approach, for example the

identification of a statistical

approach or chart beyond the

course in question.

There is the clear

identification of a hypothesis

and a null hypothesis. A

recognised statistical

approach was followed

without errors made in the

approach. There is evidence

of some innovation in

approach, for example the

identification of a statistical

approach or issue beyond the

course in question. A

relatively challenging

statistical approach was

followed. The calculations

made contain no errors.

The critical assessment is of

a reasonable length (i.e >=

400 words including

references). It comprises

insightful and original

critical thought about the

conduct of the statistical

investigation or any other

relevant matters. This

critical thought considers

multiple aspects of the

statistical investigation. It

contains multiple references

to carefully-selected

literature, that are clearly

and persuasively integrated

into the commentary.

The written text is fully

focussed, without prolixity.

The report is easy to read

and understand, with fully

accurate use of

terminology.