KC4020 - Probability and Statistics

You will learn through a series of formal sessions including both lectures and seminars. During lectures, main concepts with suitable applications/examples are introduced. Seminars allow you to gain experience in applying concepts introduced in lectures through working on practical questions. All the seminars will be scheduled in our modern computer laboratories, enabling you to apply the techniques and deepen your understanding of the material and develop your practical skills. This, in turn, develops your confidence to explore the subject area further as an independent learner outside the classroom.

Formative feedback is available weekly in the classes as you get to grips with new techniques and solve problems. In addition, we operate an open door policy where you can meet with your module tutor to seek further advice or help if required. Your ability to select appropriate techniques to solve practical problems is assessed in an exam at the end of the module covering most of the Module Learning Outcomes.

General feedback on assessments will be given in class and individual feedback will be written on scripts. An opportunity to discuss work further will be available on an individual basis when work is returned and also through the open door policy.

Direct contact with the teaching team during the formal sessions will involve participation in both general class discussions as well as one to one discussions during the hands-on part of the formal sessions. This gives you a chance to get immediate feedback pertinent to your particular needs in this session. Further feedback and discussion with the teaching team are also available at any time through our open door policy. In addition, all teaching materials and supplementary material (such as relevant journal articles and news) are available through the e-learning portal.

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)

Knowledge & Understanding:
1. Apply and appraise procedures for data collection;
2. Perform an appropriate hypothesis test within a given context;

Intellectual / Professional skills & abilities:
3. Compute and interpret probability statements to tackle real-life problems;
4. Construct simple linear regression to quantify a statistical relationship between variables.

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
5. Analyse data arising from practical problems in health and social sciences using appropriate statistical techniques, interpret and communicate results to general audiences.
6. Work in group, share knowledge and responsibilities, effective time management

SUMMATIVE
Presentation (20%)- 3,5,6
Examination (80%) – 1, 2, 3, 4, 5

FORMATIVE
Seminar problems – 1, 2, 3, 4, 5, 6

Formative assessment will be available on a weekly basis in the formal sessions through normal lecturer-student interactions, allowing them to extend, consolidate and evaluate their knowledge.

Formative feedback will be provided on student work and errors in understanding will be addressed reactively using individual discussion. Solutions for laboratory tasks will be provided after the students have attempted the questions, allowing students to receive feedback on the correctness of their solutions and to seek help if matters are still not clear.

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‘Probability and Statistics’ will equip you with the fundamental and essential statistical techniques and will enable you to solve real-life statistical problems using appropriate statistical software. In ‘Statistics’, you will gain both the theoretical understanding of a wide range of statistical techniques and experience in applying these techniques in practical situations.

This module comprises of both lectures, where main concepts with suitable applications/examples are introduced, and regular seminars, which allow you to gain experience in applying concepts introduced in lectures through working on practical questions. You will be assessed by a mid-semester group work presentation (20%) and a final examination (80%).

‘Probability and Statistics’ will enhance your employability, providing you with a sound foundation in probability and statistics, which is required for working in various industry sectors as well as for your future study.