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## 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 2022/23

### Pre-requisite qualifications

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 MATH0365 Foundation Probability and Statistics MATH1712 Probability and Statistics II MATH2735 Statistical Modelling

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 answers.

### 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 2hr examination.