Module Details |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | Statistics and Probability I | ||
Code | MATH253 | ||
Coordinator |
Dr A Haddley Mathematical Sciences A.Haddley@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2024-25 | Level 5 FHEQ | First Semester | 15 |
Aims |
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Use the R programming language fluently to analyse data, perform tests, ANOVA and SLR, and check assumptions. Develop confidence to understand and use statistical methods to analyse and interpret data; check assumptions of these methods. Develop an awareness of ethical issues related to the design of |
Learning Outcomes |
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(LO1) An ability to apply advanced statistical concepts and methods covered in the module's syllabus to well defined contexts and interpret results. |
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(LO2) Use the R programming language fluently for a broad selection of statistical tests, in well-defined contexts. |
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(LO3) Knowledge of academic integrity with particular reference to the University of Liverpool’s Code of Practice on Assessment. |
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(S1) Problem solving skills |
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(S2) Numeracy |
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(S3) IT skills |
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(S4) Communication skills |
Syllabus |
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Estimators and sampling distributions, unbiased estimators, bias of estimators. |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |
Pre-requisites before taking this module (other modules and/or general educational/academic requirements): |
MATH101 Calculus I; MATH102 CALCULUS II; MATH163 Introduction to Statistics using R |
Co-requisite modules: |
Modules for which this module is a pre-requisite: |
Programme(s) (including Year of Study) to which this module is available on a required basis: |
Programme(s) (including Year of Study) to which this module is available on an optional basis: |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
final assessment | 90 | 50 | ||||
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Class test 2 Online Moebius | 90 | 25 | ||||
Class test 1 Online Moebius | 90 | 25 | ||||
Academic Integrity Module with assessment on Canvas Resit opportunities: Students who pass all other assessment components of the module but fail the module because of failing the Academic Integri | 0 | 0 |