MATH20811代做、代写Python/c++设计程序

日期：2024-11-22 09:24

MATH20811 Practical Statistics: Coursework 2

(November 2024)

Road casualties in Greater London during 2022

The marks awarded for this coursework constitute 30% of the total assessment for the module.

Your solution to the coursework should be reasonably concise - a maximum of about 10 pages with tables, plots, and code, but there is no penalty if you do exceed this. It should take, on average, about 10 hours to complete all the work.

Please read all the instructions and advice given below carefully. The submission deadline is 10:00 am on Friday 22 November 2024. Late Submission of Work: Any student’s work that is submitted after the given deadline will be classed as late, unless an extension has already been agreed via mitigating circumstances or a DASS extension.

The following rules for the application of penalties for late submission are quoted from the latest University policy on submission of work for summative assessment:

”The mark awarded will reduce by 10% of the maximum amount available per 24 hours (e.g. if the work is marked out of 100, this means a deduction of 10 marks per 24 hours late. If the work is marked out of 20, the deduction would be 2 marks each 24 hours late.) The penalty applies as soon as an assignment is late; a 10% deduction would be issued if an assignment is submitted immediately after the deadline, and the work would continue to attract further penalties for each subsequent 24 hours the work was late, until the assignment is submitted or no marks remain.”

Your submitted solutions should all be in one pdf document which must be prepared using LaTeX. Failure to use LaTeX will result in a 5 mark penalty.

For each part of the project you should provide explanations as to how you completed what is required, show your workings and also comment on computational results, where applicable.

When you include a plot, be sure to give it a title and label the axes correctly.

When you have written or used R code to answer any of the parts, then you should list this R code after the particular written answer to which it applies. This may be the

R code for a function you have written and/or code you have used to produce numerical results, plots and tables. R code should be clearly annotated. Use the verbatim environment in LaTeX.

Do not use screenshots of R plots, or output in your report. You have seen earlier in the course how to include graphics in LaTeX.

Your file should be submitted through the Turnitin assessment called ”PS CW2 2024”in the folder ”MATH20811 CW2” under Assessment & Feedback on Blackboard

and by the above time and date. Work will be marked anonymously on Blackboard so please ensure that your filename is clear but that it does not contain your name and student id number. Similarly, do not include your name and id number in the document itself.

There is a basic LaTeX template file on Blackboard which you may choose to use for typing-up your solutions. The file is called CW2_submitted_work_template.tex.

Turnitin will generate a similarity report for your submitted document and indicate matches to other sources, including billions of internet documents (both live and archived), a subscription repository of periodicals, journals and publications, as well as submissions from other students. Please ensure that the document you upload represents your own work and is written in your own words. The Turnitin report will be available for you to see shortly after the due date.

Marking rubric: There are 6 questions to complete in the coursework, with a total of 25 marks to be obtained. An additional 5 marks are awarded for the presentation of the report, where we assess the clarity of writing, graphs, diagrams, tables and code, and the use of consistent notation (one mark for each).

This coursework should hopefully help to reinforce some of the methodology you have been study ing, as well as the skills in R you have been developing in the module. Correct interpretation and meaningful discussion of the results (i.e. attempt to put the results into context) are important in order to achieve a high mark for the coursework.

The following table gives the numbers of road casualties in Greater London during 2022, cat egorised as being either ”fatal”, ”serious” or ”slight” and grouped by five modes of transport.

The question of interest is whether for people suffering injuries, the five modes of transport differ in their respective probabilities of the severity of those injuries. You should regard the row

sums as being fixed quantities here.

Given the description of the data, write down a suitable probability model for this matrix

f counts.

State the statistical hypotheses of interest here.

marks]

Read the data into R and then convert the counts to appropriate proportions. Present the proportions data graphically and comment on the resulting plot.

marks]

(i) Explain how the expected frequencies are calculated under the assumption that your H0

is true and obtain their values for these data. (You do not need to use diy calculations here.);

marks]

Print out some appropriate sets of residuals and comment on their values in the light of the conclusions you made in question 3(ii).

marks]

TestH0 vsH1 using a significance level α = 0.05 and a critical value from the asymptotic null distribution of your test statistic. (You should clearly state what this distribution is.) State your conclusions.

marks]

5. Write a function in R to obtain B = 5000 values of the test statistic, each one calculated using a set of data simulated under the assumption that the null hypothesis is true. You should aim to efficiently make use of for loops in doing this.

Produce a histogram of these simulated values, superimpose the plot of the asymptotic null distribution and comment informally on the goodness-of-fit.

[5 marks]

Construct approximate 95% confidence intervals for:

the difference between the probability that a pedal cyclist suffering an injury is seriously injured and the probability that a car driver suffering an injury is seriously injured;

marks]

motorcyclists suffering injuries only, the difference between the probabilities of a serious injury and a slight injury.

marks]

[Total marks = 25]