2011/12 Undergraduate Module Catalogue

LUBS1675 Introductory Statistics for Management (I)

10 Credits Class Size: 200

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

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2011/12

Pre-requisite qualifications

Pass in GCSE Mathematics at grade B or above.

Mutually Exclusive

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 - 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 - ANOVA - the nature of probability and probability distributions - sampling theory, estimation and confidence intervals - 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
- 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
- ANOVA
- the nature of probability and probability distributions
- sampling theory, estimation and confidence intervals
- hypothesis testing.

Teaching Methods

Delivery type Number Length hours Student hours
Lecture 11 2 22
Private study hours 78
Total Contact hours 22
Total hours (100hr per 10 credits) 100

Opportunities for Formative Feedback

- Students will be given a mid-term test which will cover the part of the stats material taken up to that time in the module.
- Feedback on this test will be given in the form of solutions.

Exams
Exam type Exam duration % of formal assessment
Standard exam (closed essays, MCQs etc) 2.0 Hrs 0 Mins 100
Total percentage (Assessment Exams) 100

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: 3/29/2012

Errors, omissions, failed links etc should be notified to the Catalogue Team