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Academic Handbook Course Descriptors and Programme Specifications

LMATH5200 Business Statistics Course Descriptor

Course code LMATH5200 Discipline Math
UK credit 15 US credit 4
FHEQ level 5 Date approved November 2022
Core attributes  
Pre-requisites None
Co-requisites None
Exclusions LMATH4109 Introduction to Business Statistics

LECON4216T Statistics

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

K2b Use the statistical concepts and methods used in business.

Subject Specific Skills

S1b Apply the concept of hypothesis testing in problems involving inferences about population statistics in the context of business.
S2b Solve business problems involving probability, distributions, inference and regression.

Transferable and Employability Skills

T1b Identify strengths and weaknesses in a range of verbal commentary based on statistical study.
T3b Demonstrate a sound technical proficiency in written English and skill in selecting vocabulary so as to communicate effectively to specialist and non-specialist audiences.

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

AE: Assessment Activity Weighting (%) Duration Length
1 Written assessment 50%   1500 words
2 Exam 50% 75 mins N/A

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
Title: LMATH5200 Business Statistics Course Descriptor

Approved by: Academic Board

Location: academic-handbook/programme-specifications-and-handbooks/undergraduate-programmes

Version number Date approved Date published Owner Proposed next review date Modification (As per AQF4) & category number
1.0 November 2022 January 2023 Dr Marianna Koli November 2027  
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