UCL School of Management

Module Fact Sheet

MSIN0154: Statistics for Business Research

Taught by
Louis Vainqueur
Level
Masters, level 7
Eligibility
MSc Management students only
Terms
1
Assessment
Report 100%
Previous Module Code
N/A

Course overview

Introductory level of statistics for business research projects and business data analysis. The module covers:

1. Key concepts in statistics: time series, data collection and sampling, descriptive statistics, measures of central tendency, measures of dispersion, normal curve, probability theory/likelihood, inference, regression and correlation, R Squared, Chi Square, testing significance).

2. Methods for describing and visualizing data.

3. Data analysis. Conceptual understanding of linear models.

Learning outcomes

At the end of the course students will be able to:

  • Understand key concepts in statistics.
  • Interpret data from descriptive statistics, measures of central tendency and measures of dispersion.
  • Critically analyse datasets and sampling methods.
  • Apply statistical tests to verify significance of findings.
  • Identify appropriate methods to present data.
  • Recognise the benefits and limitations of statistical calculations and analysis.

Assessment summary

Report 100% (individual assignment).

Essential reading

Main book

Lee, N., and Peters, M. (2015). Business Statistics Using EXCEL and SPSS. London: Sage Publications. ISBN: 9781848602205

Recommended books

Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics. 4th Edition. London: Sage Publications. ISBN: 9781446249185

Healey, J.F. (2015). Statistics: A Tool for Social Research. 10th Edition. Stanford: Cengage Learning. ISBN: 978-1-285.45885-4.

Miles, J. and Field, Z. (2012). Discovering Statistics Using R. London: Sage Publications.

Grolemund, G. and Wickham, H. (2016). R for Data Science. O‚ÄôReilly. http://r4ds.had.co.nz/ Creative Commons.

Other references on quantitative research

Bearden, W.O., and Netemeyer, R.G. (1998). Handbook of Marketing Scales. London: Sage Publications.

Bryman, A. (1994). Quantitative Data Analysis for Social Scientists. London: Routledge.

Fink, A. (1995). The Survey Handbook. London: Sage Publications.

De Vaus, D. A.  (1996). Surveys in Social Research. London: UCL Press.

Kose, J. (1998). How to Conduct Surveys: A Step-By-Step Guide. London: Sage Publications.

Malhotra, N.K. (1996). Marketing Research: An Applied Orientation. London: Prentice Halldon.

McKeown, B., and Thomas, D. (1988). Quantitative Methodology. London: Sage Publications.

Oppenheim, A.N. (1992). Questionnaire Design and Attitude Measurement. London: Pinter Press.

Last updated Friday, 17 August 2018