代写MATH1324、代写Python/Java编程语言、RMarkdown代写代做

日期：2018-10-18 09:40

MATH1324 Introduction to Statistics Assignment 3

Final Project (Last Updated 5.7.2018)

Overview

The final assignment is simple. I want you to think of an

interesting statistical question, find some open data,

and use your knowledge gained during the course to

answer your question. This is your opportunity to

demonstrate all that you have learnt during this course.

You will be awarded (with marks) the clearer you

demonstrate your skills. This isn’t about showing off.

You won’t be rewarded for applying advanced statistical

analysis outside the course. That’s not what this course is about. This course is about asking

and answering interesting questions about the world using the fundamentals of statistics. Keep

it simple! There is only one major constraint for this course. You must use Open Data because

the aim of this assignment is turn your project into a slideshow presentation (using RMarkdown)

that you can include in an ePortfolio.

This assignment is worth 20% and must be uploaded to the Assignment 3 Turnitin link

submission by 21/10/2018.

Open Data

Assignment 3 is open-ended, but there will be one key requirement. The data to be used must

be open and ideally have a Creative Commons Licence. This will ensure you can share your

work with the anyone provided you make proper attribution. If you’re not sure if data is Open,

contact the provider, read the documentation or post on the discussion board and I will

investigate. Some open data sources are provided below, but I encourage you to find others:

○ https://www.kaggle.com

○ UCI Machine Learning Repository

○ data.gov

○ world bank

○ amazon web services

○ google data sets

○ youtube video data sets

○ analytics vidhya

○ quandl

○ driven data

○ http://www.abs.gov.au/

○ https://www.data.vic.gov.au/

○ http://www.bom.gov.au/

You can also collect your own data. If you choose to collect your own data, then explain how

you collected your data and explain the sampling method. There should be enough detail here

so that someone else could replicate your data collection.

Groups

Students are permitted to work individually or in groups of up to 3 for Assignment 3. Each

group must fill out the following form before 14/10/2018 to register their group details.

Submit the details of your group here.

Group Registration Form

All group members must submit a copy of the report! ?Group members that are not

registered or do not submit a presentation will not be acknowledged. One group member’s

submission will be marked and given feedback. It will be the responsibility of the marked group

member to share the group’s feedback with the other group members. The other group

members will receive a mark only.

Submission Instructions

The Assignment 3 presentation must be completed using the R Markdown template provided

here:

R Markdown Template - Assignment 3

Note that this is a slideshow template. The template includes basic instructions. You can read

more here.

The slideshow presentation will be in a reproducible R Markdown format with written sections, R

code and output. Presentations are limited (maximum) to 20 slides. The presentation must

be composed of the following sections. You can add more if your wish, but you must include

these sections as a minimum.

1. Presentation title and group/individual details [Plain text]: You can add the title of

your presentation and student(s) details by updating the “title” and “author” entries at the

top of the R Markdown Template.

2. RPubs link information [RPubs link]: You must also publish your presentation to

RPubs (see here) and add this RPubs link to your presentation in this section. The online

version of the presentation will be used for marking. Failure to submit your link will delay

your feedback and risk late penalties.

3. Introduction [Plain text]: A good introduction provides a brief background to the

problem, defines important terms, and leads to a strong rationale.

4. Problem Statement [Plain text]: ?State the overall problem/question driving the

investigation. Summarise how you will use statistics to solve the problem or answer your

question.

5. Data [Plain text]: If you collected your own data, ?explain how you collected your data.

There should be enough detail here so that someone else could replicate your data

collection. Explain the sampling method if known. Ensure you reference the data source

if you have used Open Data. List and explain the important variables. Explain everything

that you do to preprocess the data.

6. Descriptive Statistics and Visualisation [Plain text & R code & Output]: Summarise

the important variables in your investigation. Use visualisation to highlight interesting

features of the data and tell the overall story. Explain how you dealt with data issues (if

any), e.g. missing data and outliers.

7. Hypothesis Testing [Plain text & R code & Output]:Apply an appropriate hypothesis

test for your investigation. Ensure you state the hypotheses and check any assumptions.

Report the appropriate values and interpret the results.

8. Discussion [Plain text]: Discuss the major findings of your investigation. Discuss any

strengths and limitations. Propose directions for future investigations. This is a good

place to re-state your findings as a final conclusion. What is the one take home message

the reader should leave with?

9. References [Plain text]: Provide a list of any references you use in the presentation.

The presentation pdf must be uploaded to the Assignment 3 Turnitin link submission by

21/10/2018. You must also publish your presentation to RPubs ?(see here) and submit this

RPubs link to the google form given below:

RPubs link submission form

If you are working as a group, ONLY ONE GROUP MEMBER needs to complete this step. This

online version of the report will be used for marking. Failure to submit your link will delay your

feedback and risk late penalties.

Extensions will only be granted in accordance with the RMIT University Extension and Special

Consideration Policy. No exceptions. Assignments submitted late will be penalised (see Course

Information for further details).

Collaboration

You are permitted to discuss and collaborate on the assignment with your classmates and other

groups. However, the write-up of the presentation must be an individual/group effort.

Assignments will be submitted through Turnitin, so if you’ve copied from a fellow

classmate/group, it will be detected. It is your responsibility to ensure you do not copy or do not

allow another classmate/groups to copy your work. If plagiarism is detected, both the copier and

the student/group copied from will be responsible. It is good practice to never share assignment

files with other students/groups. You should ensure you understand your responsibilities by

reading the RMIT University website on academic integrity. Ignorance is no excuse.

Assignment 3 Marking Rubric

Criteria Not acceptable

(0)

Needs Improvement

(1)

Good

(2)

Outstanding

(3)

Introduct

ion

(15%)

No background to

investigation and/or

rationale. The aim of the

investigation was not

clear.

A simple background and

rationale to the

investigation were

provided, but it lacked

detail/clarity.

Background and rationale

driving the investigation

were provided, but some

minor details were

missing/not clear.

Background builds a

strong and interesting

rationale driving the

investigation. Important

concepts are detailed. The

reader wants to know the

answer.

Method/

Data

(15%)

The data/data collection

method was

described/poorly. The

quality and nature of the

data were unclear.

The data/data collection

method description

needed improvement.

Important insight into the

nature of the data was

missing.

The data/data collection

method was described in

detail, but some minor

aspects were not entirely

clear/correct.

The data/data collection

method was clear, concise

and detailed. The

presenters clearly had an

in-depth knowledge of the

data.

Analysis

(40%)

Major aspects of the

analysis were

inappropriate and/or

completed incorrectly.

Results of the statistical

analysis are poorly

presented and/or missing.

Results were

misinterpreted.

The analysis and

presentation of results

were mostly suitable, but

some important elements

(e.g. statistical tests,

descriptive statistics or

visualisations) were

poorly described/ and or

interpreted.

Most of the statistical tests

and summaries were

reported and interpreted

correctly. There was some

room for improvement in

the analyses selected,

reporting of results and/or

interpretations.

The analysis is justified,

assumptions checked, and

results reported clearly.

Results are presented and

summarised meticulously.

The interpretation of the

results were clearly and

accurately communicated.

Discussi

on (20%)

There was no discussion

or conclusion or the

discussion and conclusion

do not match the results.

There is no attempt to

interpret the results back

to the context of the

original investigation. The

presenter did not appear

to understand the

implications of the

investigation’s findings.

A discussion and

conclusion are presented,

however, there is a lack of

insight into the results of

the investigation. There is

either insufficient

discussion or the

discussion raises many

irrelevant points.

The results of the

investigation are

discussed in detail and an

appropriate conclusion

was reached. Minor details

could be added, or some

minor irrelevant points

were included.

The results of the

investigation are critically

analysed and a conclusion

was reached which related

back to the initial

investigation question. The

discussion is succinct and

conveys the take home

message from the

investigation.

Presenta

tion

(10%)

The presentation appears

messy, is difficult to read,

has poor

spelling/grammar, and

poor referencing. The

slide are crowded/empty.

The presentation has a

number of issues with

appearance, readability,

spelling and/or

referencing.

Overall, the presentation

appears professional and

well laid out. Only a few

minor issues with

crowding, appearance,

readability,

spelling/grammar or

referencing.

The presentation shows

considerable effort and

attention to detail. Its is

succinct and difficult to

fault.