## 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

Critical 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