# Introduction to Statistics for Business - BUSN3130

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## Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2023 to 2024
Canterbury
Spring Term 4 15 (7.5) Tuan Yu

## Overview

So much of the world of business is based on quantitative information—sales, stock control, investments, loans, production levels, staffing numbers, share prices, interest rates, quality control, etc. etc. In almost any organisation where you work you must expect to deal with numbers. This module introduces you to the way you can make use of quantitative information through statistical analysis.

Topics may include:

* The nature and use of numerical information

* Summarising data

* Graphical representation of data: histograms, pie charts, cumulative frequency curves

* Measures of location and dispersion

* Probability, distributions and expected values

* Sampling and its uses

* The ?2 distribution, questionnaire analysis and contingency tables

* Correlation

## Details

### Contact hours

The module will be taught by lectures, computer terminal sessions and private study.
Total Contact Hours: 21
Private Study Hours: 129

## Method of assessment

The module is assessed 100% by coursework, divided as follows.

VLE: quiz (20%)

1 ´ online VLE quizzes (20%) testing technical aspects of the syllabus

In-course test (20%)

1 x 45 minute in-course test

Statistics Report (60%)

Students have to identify real examples of the use of quantitative information and statistics and produce a report including commentary and analysis and should be no more than 8 pages in length including tables and diagrams.

For reassessment, students will resubmit the statistics report as coursework

Keller, G. and Gaciu, N. (2015). Managerial Statistics (Europe, Middle East and Africa Edition), Andover: Cengage. Of particular relevance are Chapters 1–10 and 14.

Lind, D.A., Marchal, W.G. and Wathen, S.A. (2013) Basic Statistics for Business & Economics, (8th edn.), New York: McGraw-Hill

Seeley J, (2002), One Step Ahead: Writing Reports, Oxford: OUP.

See the library reading list for this module (Canterbury)

See the library reading list for this module (Medway)

## Learning outcomes

The intended subject specific learning outcomes. On successfully completing the module students will be able to:

- Use graphical, numerical and statistical techniques to handle a variety of business problems
- Summarise and analyse data and present it effectively to others and use appropriate software, including spreadsheets
- Use statistical techniques to draw well founded inferences from quantitative data
- Understand the scope and limitations of quantitative methods
- Identify sources of published statistics, understand their context and report on their wider relevance

The intended generic learning outcomes. On successfully completing the module students will be able to:

- Demonstrate numeracy and quantitative skills including organising data, abstracting meaning from information and supporting written work by following the required academic conventions
- Demonstrate a reflective approach to learning and critical thinking skills essential for success in business
- Demonstrate effective writing skills at Level 4 as required to complete written assignments and business reports
- Work and study independently and utilise resources effectively

## Notes

1. Credit level 4. Certificate level module usually taken in the first stage of an undergraduate degree.
2. ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
3. The named convenor is the convenor for the current academic session.