STAT0025: In-Course Assessment Page 1
STAT0025: In-Course Assessment, 2022–23
Regulations
The deadline for the assessment is Tuesday 22 November 2022 at 12:00, UK
time. You should submit the assessment on the STAT0025 Moodle page.
There are three questions. Answer all questions. Question 1 is worth 19 marks.
Question 2 is worth 14 marks. Question 3 is worth 7 marks.
You may refer to your notes and other resources. You may use a calculator or a
computer for routine calculations, including matrix manipulations. You may not
use linear programming software.
Late submission will incur a penalty unless there are extenuating circumstances
supported by appropriate documentation. Penalties are set out in the latest edi-
tions of the Statistical Science Department student handbooks, available from the
departmental web pages.
Failure to submit this in-course assessment will mean that your overall examination
mark is recorded as “non-complete”, i.e., you will not obtain a pass for the course.
Your work will be marked and returned to you for feedback. The grade you receive
is a provisional grade, and will be confirmed at the Statistics Examiners’ Meeting.
Formatting your solutions for submission
You should submit ONE document that contains your solutions for all questions/part-
questions. Please follow UCL’s guidance on combining text and photographed/scanned
work, available here: https://www.ucl.ac.uk/news/2020/apr/seven-simple-steps-
submit-handwritten-answers-moodle-exams-or-assessments
In handwritten solutions (on paper or via tablet) please use blue or black pen.
Submitting your document
Only upload ONE file that contains ALL your work.
You will be allowed to submit only once. Ensure that you submit the correct
document!
It is safer to submit a PDF document as it will be stable in terms of formatting
across platforms.
Name your file using your student number and the course code. For example, if your
student number is 18002119 then you should name your file 18002119-STAT0025.
This should also be input as the submission title on Moodle.
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STAT0025: In-Course Assessment Page 2
Please write your student number on the first page of your submission. Do not write
your name on your submission.
Plagiarism and collusion
You must work alone. You are encouraged to read the Department of Statistical
Science’s advice on collusion and plagiarism, which you can find at
