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Introductory Statistical Methods and Computing (STAT0021)

Key information

Faculty
Faculty of Mathematical and Physical Sciences
Teaching department
Statistical Science
Credit value
15
Restrictions
Subject to the availability of places, this module is offered to all Ïã¸ÛÁùºÏ²Ê undergraduates specialising in fields other than statistical science. Information on the academic prerequisites and registration procedure is available at: /statistics/current-students/modules-statistical-science-students-other-departments.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module aims to provide an introduction to statistical methods and interpretation of data, along with associated computing, and to provide some expertise in applying quantitative methods in the Life and Physical Sciences. It is intended for students registered on undergraduate degree programmes outside of the Department of Statistical Science.

Intended Learning Outcomes

  • have an understanding of basic methods of descriptive statistics, confidence intervals and significance tests;
  • be able toÌýapply these methods to simple standard situations in one'sÌýown field of study.

Applications - The statistical methods covered are useful in the routine analysis of scientific methods, as might be encountered in other modules.

Indicative Content - Descriptive statistics and graphical methods. Introduction to probability theory. Use of normal, binomial and Poisson distributions. Confidence intervals and significance tests applied to one and two sample problems by parametric and non-parametric methods. Goodness-of-fit and contingency tables. Correlation and regression. Use of computer software for statistical purposes.

Key Texts - Available from .

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Undergraduate (FHEQ Level 4)

Teaching and assessment

Mode of study
In person
Methods of assessment
25% In-class activity
75% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
170
Module leader
Dr Tom Honnor
Who to contact for more information
stats.ugt@ucl.ac.uk

Intended teaching term: Term 2 ÌýÌýÌý Undergraduate (FHEQ Level 4)

Teaching and assessment

Mode of study
In person
Methods of assessment
25% In-class activity
75% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
167
Module leader
Dr Tom Honnor
Who to contact for more information
stats.ugt@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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