2008/09 Undergraduate Module Catalogue

LUBS1675 Introductory Statistics for Management (I)

10 creditsClass Size: 200

Module manager: Dr Barbara Summers
Email: bs@lubs.leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2008/09

Pre-requisite qualifications

Pass in GCSE Mathematics at grade B or above.

This module is mutually exclusive with

MATH0365	Foundation Probability and Statistics
MATH1050	Calculus and Mathematical Analysis
MATH1715	Introduction to Probability
MATH1840	Introduction to Statistical Modelling
MATH2790	Modelling and Simulation
MATH3743	Design and Analysis of Experiments

This module is not approved as an Elective

Module summary

On completion of this module students should be able to: appreciate the value of quantitative approach to solving a wide range of business problems; recognise limitations of a quantitative approach; understand and apply basic statistical concepts within business situations; and benefit from modules of their degree programme that require possession of quantitative skills and knowledge.The module allows students to consider foundation statistics for management and business programmes comprising: descriptive statistics; frequency distributions and histograms; averages and measures of dispersion; regression and correlation; the nature of probability and probability distributions; sampling theory, estimation and confidence intervals; and hypothesis testing.

Objectives

On completion of this module students should be able to: appreciate the value of quantitative approach to solving a wide range of business problems; recognise limitations of a quantitative approach; understand and apply basic statistical concepts within business situations; and benefit from modules of their degree programme that require possession of quantitative skills and knowledge.

Syllabus

Foundation statistics for management and business programmes comprising: descriptive statistics; frequency distributions and histograms; averages and measures of dispersion; regression and correlation; the nature of probability and probability distributions; sampling theory, estimation and confidence intervals; and hypothesis testing.

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	11	1.00	11.00
Seminar	5	1.00	5.00
Private study hours			84.00
Total Contact hours			16.00
Total hours (100hr per 10 credits)			100.00

Opportunities for Formative Feedback

Students will be given a mid-term test which will cover the part of the stats material taken up in this module. Feedback on this test will be given in the form of solutions. The examination questions from the previous year will be made available later in the semester, which is solely intended to give students an indication of the required level of examination questions.

Methods of assessment

Exams

Exam type	Exam duration	% of formal assessment
Standard exam (closed essays, MCQs etc)	2 hr 00 mins	100.00
Total percentage (Assessment Exams)		100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 23/07/2008

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