2019/20 Undergraduate Module Catalogue

LUBS1630 Introductory Statistics for Business

10 creditsClass Size: 60

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

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2019/20

Pre-requisite qualifications

Pass in GCSE Mathematics at grade B or above.

This module is mutually exclusive with

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
LUBS1525	Analytical Methods
MATH0365	Foundation Probability and Statistics
MATH1712	Probability and Statistics II
MATH2735	Statistical Modelling

Module replaces

LUBS1675

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	2.00	22.00
Private study hours			78.00
Total Contact hours			22.00
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 to that time in the module.
- Feedback on this test will be given in the form of solutions.

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

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

Reading list

The reading list is available from the Library website

Last updated: 30/04/2019

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