| M22319 / M33098 Numerical Skills & Economics |
M22319 / M33098 Assessment Coursework
| School of Civil Engineering and Surveying | Date Set: | 22/10/25 | |||
| Date Due: | 2/12/25 | ||||
| Module Name and Code | M22319 NUMERICAL SKILLS & ECONOMICS M33098 NUMERICAL SKILLS AND ECONOMICS | ||||
| Lecturer | Rebecca Lodwick | ||||
| Artefact Number | 1 | Artefact Title | Coursework | ||
Task
Use Minitab to analyse the coursework dataset, completing all analysis tasks and writing up your results and conclusions for each task (word limit: 2000 words). The Minitab dataset that you are required to analyse is available under the ‘Assessments & Support Materials’ section on Moodle.
Learning outcomes
LO1 Summarise and present data using the mean, median, standard deviation, histograms, box plots, and bar charts.LO2 Analyse and interpret data using t-tests, ANOVA, non-parametric tests, Chi-squared tests, correlation, and linear regression.
Submission Instructions
Your work must be submitted to the submission box by 4pm on 2nd December 2025.You must submit your work as a PDF.The filename should be your student ID number, e.g. UP1234567.Your name should not appear anywhere on or within your submission.You should also upload your Minitab Project File with your submission.
Coursework Dataset
Note that there are several versions of the coursework dataset, but only one dataset will be visible on your Moodle: you must analyse your dataset. Using a dataset from another student’s Moodle may result in a plagiarism investigation.
DATA
The dataset contains observations from a sample of soil blocks. Each block has been reinforced with a type of organic fibre. A water absorption test has been performed on each block.There are four variables: Fibre typeWater absorption (%)Soil typeFibre content (% by volume)
Part 1
(a) Present appropriate numerical and graphical summaries for each of the variables. Comment on their distributions, and (where appropriate) the presence or absence of any outliers.(b) Report the 95% confidence interval for the mean water absorption, then use an appropriate hypothesis test to determine whether there is any evidence that the mean water absorption is not equal to 20%. You may assume that the underlying distribution of water absorption is Normal.(c) Evaluate whether the data is consistent with the claim that the median fibre content is 1.0%. Justify your choice of method.
Part 2
Use appropriate analyses to investigate the relationships between each of the following pairs of variables.(a) Water absorption and fibre type.
You may assume that the underlying distribution of water absorption is Normal.(b) Fibre type and soil type.(c) Water absorption and soil type.You may assume that the underlying distribution of water absorption is Normal.(d) Water absorption and fibre content.
Part 3
(a) Determine whether the relationship between water absorption and fibre content varies by fibre type.(b) Develop a multivariable linear regression model for water absorption, with fibre type, soil type and fibre content as potential predictors. Include all steps of your modelling process and fully justify your choice of final model.(c) For your final model, explain the effect of each predictor on the outcome variable by interpreting each of the regression coefficients and their p-values.
M22319/M33098 Categorical Marking Descriptor
| Classification | Categorical Marking Scale |
Detailed Assessment Description |
| First Classification (Publishable/ professional standard) | 100 Upper 95 Middle 92 Lower |
Learning Outcomes: Exceptional in all aspects, substantially exceeding expectations for this level.
Assessment Criteria: Inclusion of multiple elements beyond those required, demonstrating a mastery of the subject and an ability to engage with advanced concepts in an innovative way.
|
| First Classification (Outstanding) | 88 Upper 85 Middle 82 Lower |
Learning Outcomes: Outstanding in most/all aspects, substantially exceeding expectations for this level.
Assessment Criteria: Underpinned by originality and/or novel ideas in thinking and a strong critical appreciation of the topic. No improvement could reasonably be expected.
|
| First Classification (Meets criteria) | 78 Upper 75 Middle 72 Lower |
Learning Outcomes: Excellent quality, exceeding expectations for this level in many aspects.
Assessment Criteria: Inclusion of elements beyond those required.
|
| 2.1 Classification | 68 Upper 65 Middle 62 Lower |
Learning Outcomes: Meets all the intended learning outcomes and exceeds the threshold expectations for this level in several of them.
Assessment Criteria: Complete with no important omissions.
|
| 2.2 Classification | 58 Upper 55 Middle 52 Lower |
Learning Outcomes: Meets all the intended learning outcomes for this level and exceeds the threshold expectations for this level in some of them.
Assessment Criteria: Addresses the question/assignment. Some omissions.
|
| 3rd Classification | 48 Upper 45 Middle 42 Lower |
Learning Outcome: Meets all of the intended learning outcomes but rarely exceeds the threshold expectations for this level.
Assessment Criteria: Addresses some aspects of question/assignment, but with some important omissions.
|
| Fail | 38 35 32 28 25 22 15 10 |
Learning Outcome: Fails to meet the majority or all of the intended learning outcomes and is inadequate for this level.
Assessment Criteria: Fails to address much of the question/assignment. Lots of omissions.
|
| Nonsubmission or no adequate attempt | No submission, token submission (e.g |