# 2021/22 Undergraduate Module Catalogue

## LLLC1364 Mathematics and Statistics for Managers

### 20 creditsClass Size: 40

**Module manager:** David Gilding**Email:** d.gilding@leeds.ac.uk

**Taught:** Semester 2 (Jan to Jun) View Timetable

**Year running** 2021/22

### This module is mutually exclusive with

LUBS1195 | Introductory Modelling for Management (1) |

LUBS1675 | Introductory Statistics for Management (I) |

MATH0111 | Elementary Diff Calculus 1 |

MATH0131 | Elementary Differential Calculus (Version 2) |

MATH0212 | Elementary Integral Calculus (Version 1) |

MATH0360 | Introduction to Applied Mathematics 1 |

MATH0365 | Foundation Probability and Statistics |

MATH0370 | Introduction to Applied Mathematics 2 |

MATH0380 | Foundation Applied Mathematics for Business |

MATH1050 | Calculus and Mathematical Analysis |

MATH1150 | Mathematics for Geophysical Sciences 2 |

MATH1351 | Applications of Mathematics |

MATH1400 | Modelling with Differential Equations |

MATH1410 | Modelling Force and Motion |

MATH1460 | Mathematics for Geophysical Sciences 1 |

MATH1715 | Introduction to Probability |

MATH1725 | Introduction to Statistics |

MATH1815 | Modelling in Statistics and Probability |

MATH1825 | Statistics Through Application |

MATH1840 | Introduction to Statistical Modelling |

MATH1910 | Modelling and Investigations |

MATH1915 | Basic Use of Computers for Mathematics |

MATH1916 | Basic Use of Computers for Mathematics |

MATH1917 | Basic Use of Computers for Mathematicians |

MATH1960 | Calculus |

**This module is not approved as a discovery module**

### Objectives

To enable students to develop:- An understanding of mathematical modelling and inferential statistics as management decision making tools

**Learning outcomes**

Knowledge of :

- Algebraic notation and manipulation

- Linear regression

- Correlation

- Probability theory

- Sampling theory

- Inferential statistics

**Skills outcomes**

Ability to :

- Apply mathematical and statistical techniques to business related problems.

### Syllabus

Consideration of theory and practice in relation to :

- Algebraic notation and manipulation

- Linear regression

- Correlation

- Probability theory

- Sampling theory

- Inferential statistics

### Teaching methods

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

Delivery type | Number | Length hours | Student hours |

Workshop | 11 | 2.00 | 22.00 |

Seminar | 5 | 1.00 | 5.00 |

Private study hours | 173.00 | ||

Total Contact hours | 27.00 | ||

Total hours (100hr per 10 credits) | 200.00 |

### Private study

Reading 80 hoursCritical reflection on practice 33 hours

Seminar preparation 20 hours

Assignment preparation 20 hours

Assignment Writing 20 hours

TOTAL 173

### Opportunities for Formative Feedback

Through regular workshops, monitoring of student contributions, formative feedback and the staged submission of coursework### Methods of assessment

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

**Coursework**

Assessment type | Notes | % of formal assessment |

In-course Assessment | 2 hour in-course exam | 50.00 |

Total percentage (Assessment Coursework) | 50.00 |

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

**Exams**

Exam type | Exam duration | % of formal assessment |

Standard exam (closed essays, MCQs etc) | 2 hr | 50.00 |

Total percentage (Assessment Exams) | 50.00 |

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 websiteLast updated: 30/06/2021 16:23:11

## Browse Other Catalogues

- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue

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