Undergraduate Programme and Module Handbook 2018-2019 (archived)
Module MATH1541: STATISTICS
Department: Mathematical Sciences
MATH1541:
STATISTICS
Type |
Open |
Level |
1 |
Credits |
20 |
Availability |
Available in 2018/19 |
Module Cap |
|
Location |
Durham
|
Prerequisites
- Normally, A level Mathematics at grade C or better, or
equivalent.
Corequisites
Excluded Combination of Modules
Aims
- The module is designed to be a first statistics course, suitable
for all students satisfying the entrance requirements.
- No prior statistical knowledge is assumed.
- The emphasis is upon the understanding of real-life statistical
problems, and develops the basic concepts and statistical methods by
example.
- Most practical sessions are devoted to computing with a statistical
package to apply and illustrate the material presented in
lectures.
Content
- Sources of data.
- Descriptive statistics.
- Exploring two-variable relationships.
- Methods for more than two variables.
- Data analysis topics.
- Probability.
- Random variables.
- Inference.
- Confidence intervals and hypothesis
testing.
- Inferences for means of Normally distributed
populations.
- Inference for relationships.
- Methods of categorical data.
- Distribution-free methods.
Learning Outcomes
- By the end of the module students will: be able to solve a
range of predictable or less predictable problems in
statistics.
- have an awareness of the basic concepts of theoretical
mathematics in the field of statistics.
- have a broad knowledge of the basic understanding of these
subjects demonstrated though one or more of the following topic areas:
- Principles of data collection.
- Basic analysis of variance and multiple regression.
- computing for data analysis.
- Probability, random variables and statistical
inference.
- an introduction to confidence intervals and hypothesis
testing.
- Parametric and nonparametric procedures for common
applications.
- students will have basic mathematical skills in the following
areas: Modelling, computation.
- students will have basic skills in exploratory data
analysis.
- students will have basic problem solving skills.
Modes of Teaching, Learning and Assessment and how these contribute to
the learning outcomes of the module
- Lectures demonstrate what is required to be learned and the
application of the theory to practical examples.
- Tutorials provide the practice and support in applying the
methods to relevant situations as well as active engagement and feedback
to the learning process.
- Summative weekly coursework provides an incentive for students
to consolidate the learning of material as the module progresses (there
are no higher level modules in the department of Mathematical Sciences
which build on this module). It serves as a guide in the correct
development of students' knowledge and skills, as well as an aid in
developing their awareness of standards required.
- The end-of-year written examination provides a substantial
complementary assessment of the achievement of the student.
Teaching Methods and Learning Hours
Activity |
Number |
Frequency |
Duration |
Total/Hours |
|
Lectures |
42 |
2 per week |
1 Hour |
42 |
|
Tutorials |
15 |
Fortnightly in weeks 2-10, weekly in weeks 12-20, and one in week 21. |
1 Hour |
15 |
■ |
Computer Practicals |
13 |
Weekly in weeks 2-10, fortnightly in weeks 14-20. |
1 Hour |
13 |
■ |
Preparation and Reading |
|
|
|
130 |
|
Total |
|
|
|
200 |
|
Summative Assessment
Component: Examination |
Component Weighting: 90% |
Element |
Length / duration |
Element Weighting |
Resit Opportunity |
Written examination |
3 hours |
100% |
Yes |
Component: Coursework |
Component Weighting: 10% |
Element |
Length / duration |
Element Weighting |
Resit Opportunity |
One written assignment each teaching week |
|
100% |
Completing the May/June exam paper over the
summer, to be returned by the start of the resit exam
period |
45 minute collection paper in the first week of
Epiphany term.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University