## LUBS1285 Mathematics and Statistics for Economics and Business 1B

### 10 creditsClass Size: 900

Module manager: Henry Duncanson
Email: H.Duncanson@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2021/22

### Pre-requisite qualifications

Completion of LUBS1275 Mathematics and Statistics for Economics and Business 1A
OR

### This module is mutually exclusive with

 LUBS1525 Analytical Methods LUBS1630 Introductory Statistics for Business MATH0212 Elementary Integral Calculus (Version 1) MATH1050 Calculus and Mathematical Analysis MATH1400 Modelling with Differential Equations MATH1710 Probability and Statistics I

Module replaces

LUBS1260 Mathematics for Economics and Business 1 (in full)LUBS1270 Statistics for Economics and Business 1 (in part)LUBS1280 Mathematical Economics (in part)

This module is not approved as a discovery module

### Module summary

This module aims to provide students with a basic knowledge of mathematics and statistical tools that are required to understand economics and business. It is intended to provide both reinforcement of learning from A-level mathematics or LUBS1275 Mathematics and Statistics for Economics and Business 1A and to introduce new mathematical and statistical tools to students.

### Objectives

This module aims to provide students with a basic knowledge of mathematics and statistical tools that are required to understand economics and business. It is intended to provide both reinforcement of learning from A-level mathematics or LUBS1275 Mathematics and Statistics for Economics and Business 1A and to introduce new mathematical and statistical tools for students.

Learning outcomes
Upon completion of this module students will be able to:
- further understand the fundamental techniques of mathematics and statistics associated with economics and business
- use and apply the techniques to economics and business examples

Skills outcomes
Upon completion of this module students will be able to:
Transferable
- apply logic to solve problems

Subject specific
- utilise mathematics and statistics as tools to solve problems in economics and business

### Syllabus

Indicative content:
Probability distributions; sampling, intervals and hypothesis testing; regression; integration and partial differentiation; and optimisation.

### Teaching methods

 Delivery type Number Length hours Student hours Workshop 11 1.00 11.00 Independent online learning hours 7.50 Private study hours 81.50 Total Contact hours 11.00 Total hours (100hr per 10 credits) 100.00

### Private study

This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.

### Opportunities for Formative Feedback

Your teaching methods could include a variety of delivery models, such as face-to-face teaching, live webinars, discussion boards and other interactive activities. There will be opportunities for formative feedback throughout the module.

### Methods of assessment

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

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