LMATH5200 Business Statistics Course Descriptor

Course Overview

Managers in businesses are regularly supplied with reports and data to inform their business decisions. having the ability to analyse and interpret data or understanding how the data presented has been collected and analysed is essential  to make the best business decisions

This course introduces students to the study of statistics, the theories behind the various methods used and how to use the tools to analyse the data. Students will   develop their ability to use   techniques necessary for carrying out well-informed simple regression and apply those ideas to business economic problems.

Learning Outcomes

On successful completion of the course, students will be able to:

Knowledge and Understanding

Subject Specific Skills

Transferable and Employability Skills

Teaching and Learning

This course has a dedicated Virtual Learning Environment (VLE) page with a syllabus and range of additional resources (e.g. readings, question prompts, tasks, assignment briefs, discussion boards) to orientate and engage students in their studies.

The scheduled teaching and learning activities for this course are:

Lectures/seminars

40 scheduled hours – typically including induction, consolidation or revision, and assessment activity hours.

Version 1:all sessions in the same sized group

OR

Version 2: most of the sessions in larger groups; some of the sessions in smaller groups

Faculty will hold regular ‘office hours’, which are opportunities for students to drop in or sign up to explore ideas, raise questions, or seek targeted guidance or feedback, individually or in small groups. 

Students are to attend and participate in all the scheduled teaching and learning activities for this course and to manage their directed learning and independent study.

Indicative total learning hours for this course: 150

Assessment

Both formative and summative assessment are used as part of this course, with purely formative opportunities typically embedded within interactive teaching sessions, office hours, and/or the VLE.

Summative Assessments

*This course uses linear marking.

Further information about the assessments can be found in the Course Syllabus.

Feedback

Students will receive formative and summative feedback in a variety of ways, written (e.g. marked up on assignments, through email or the VLE) or oral (e.g. as part of interactive teaching sessions or in office hours).

Indicative Reading

Note: Comprehensive and current reading lists are produced annually in the Course Syllabus or other documentation provided to students; the indicative reading list provided below is for a general guide and part of the approval/modification process only.

• Newbold, P., W.L. Carlson and B.M. Thorne Statistics for Business and Economics. (London: Prentice-Hall, 2009) seventh edition.

Indicative Topics

Note: Comprehensive and current topics for courses are produced annually in the Course Syllabus or other documentation provided to students; the indicative topics provided below is used as a general guide and part of the approval/modification process only.

• Descriptive Statistics
• Probability, Random Variables and Sampling Distributions
• Efficiency, biased and unbiased estimators