The aim of this unit is to provide students with an understanding of how management information and decision-making are enhanced by the application of statistical methods. Students will learn about a range of statistical techniques and how they can inform management thinking. While studying the unit they will develop their numerical abilities and increase their confidence in handling data in order to create information and knowledge.
By the end of this unit a student will be able to:
1 Evaluate business and economic data/information obtained from published
sources.
2 Analyse and evaluate raw business data using a number of statistical methods.
3 Apply statistical methods in business planning.
4 Communicate findings using appropriate charts/tables.
Interpretation of business and economic data: The nature of data and information, and how data can be turned into information and information into knowledge. Interpreting data from a variety of sources using different methods of analysis: descriptive, exploratory and confirmatory.
Differences between qualitative and quantitative raw data analysis.
Descriptive statistics: Measures of central tendency (e.g. mean, median).Measures of variability (e.g. range, standard deviation).
Application to business data (e.g. finding average earnings, measuring variability in business processes such as queuing times and customer arrival rates).
Inferential statistics:The difference between sample and population.
Different sampling techniques and methods.
Measuring association:Use of scatter plots, correlation and regression analysis, simple forecasting.
Business applications such as the association between output and cost, advertising and sales.
Evaluating use of software such as Excel and SPSS to perform raw data analysis.
Applying the appropriate methods and tools for evaluation of raw data.
LO3 Apply statistical methods in business planningApplying statistical methods to a number of areas of business planning and operations management, including inventory management and capacity management.
Measures of variability:The issue of variability in business processes (e.g. arrival rates of customers and time taken to deal with customers), and how this leads to a trade-off between waiting time and process utilisation.
Statistical process control in quality management.
Measures of probability:Probability distributions and application to business operations and processes.
Normal distribution (e.g. weights and measures regulations and statistical process control), Poisson distribution (e.g. customer arrival rates) and binomial distribution (e.g. inspection sampling).
Inference (e.g. margins of error and confidence limits).
LO4 Communicate findings using appropriate charts/tablesChoosing the most effective way of communicating the results of your analysis and variables.
Nominal, ordinal and interval/ratio levels.
Different types of charts/tables and diagrams:The use of frequency tables, simple tables, pie charts, histograms, frequency curves and normal curve.
Advantages and disadvantages of different types of methods.
Presentation of information using tables and charts.
Software for producing charts/tables (e.g. Excel).
| LO1 Evaluate business and economic data/information obtained from published sources | ||
|---|---|---|
| Pass | Merit | Distinction |
| P1 Evaluate the nature
and process of business
and economic
data/information from a
range of different
published sources. P2 Evaluate data from a variety of sources using different methods of analysis. |
M1 Critically evaluate the methods of analysis used to present business and economic data/information from a range of different published sources. | D1 (LO1 & 2) Critically evaluate the differences in application between methods of descriptive, exploratory and confirmatory analysis of business and economic data. |
| LO2 Analyse and evaluate raw business data using a number of statistical methods | ||
|---|---|---|
| Pass | Merit | Distinction |
| P3 Analyse and evaluate qualitative and quantitative raw business data from a range of examples using appropriate statistical methods. | M2 Evaluate the differences in application between descriptive statistics, inferential statistics and measuring association. | D1 (LO1 & 2) Critically evaluate the differences in application between methods of descriptive, exploratory and confirmatory analysis of business and economic data. |
| LO3 Apply statistical methods in business planning | ||
|---|---|---|
| Pass | Merit | Distinction |
| P4 Apply a range of statistical methods used in business planning for quality, inventory and capacity management. | M3 Evaluate and justify the use of appropriate statistical methods supported by specific organisational examples | D2 Make valid recommendations and judgements for improving business planning through the application of statistical methods. |
| LO4 Communicate findings using appropriate charts/tables | ||
|---|---|---|
| Pass | Merit | Distinction |
| P5 Using appropriate charts/tables communicate findings for a number of given variables. | M4 Justify the rationale for choosing the method of communication. | D3 Critically evaluate the use of different types of charts and tables for communicating given variables. |
ANDERSON, D. et al (2010). Statistics for Business and Economics. 2nd Ed. Cengage Learning.
MORRIS, C. (2012) Quantitative Approaches in Business Studies. 8th Ed. Harlow: Pearson Prentice Hall.
DAVIS, D. and PECAR, B. (2013) Business Statistics Using Excel. 2nd Ed. Oxford: Oxford University Press.
SLACK, N. and BRANDON-JONES, A. (2008) Quantitative Analysis in Operations Management. Harlow: Pearson Prentice Hall.
This unit links to the following related units:
Unit 5: Management Accounting
Unit 6: Managing a Successful Business Project
Unit 25: Principles of Operations Management
Unit 11: Research Project
Unit 13: Financial Reporting