2022/23 Undergraduate Module Catalogue

LUBS1630 Introductory Statistics for Business

10 Credits Class Size: 60

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

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2022/23

Pre-requisite qualifications

GCSE Mathematics at grade B or above.

Mutually Exclusive

LUBS1185 Understanding Statistics in the Social Sciences
LUBS1275 Mathematics and Statistics for Economics and Business 1A
LUBS1285 Mathematics and Statistics for Economics and Business 1B
MATH0365 Foundation Probability and Statistics
MATH1712 Probability and Statistics II
MATH2735 Statistical Modelling

This module is approved as a discovery module

Module summary

The module allows students to consider foundation statistics 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.

Learning outcomes

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 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 answers.

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

The resit for this module will be 100% by 2hr examination.

Reading List

The reading list is available from the Library website

Last updated: 4/29/2022

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