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.
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.
Report 100% (individual assignment).
Lee, N., and Peters, M. (2015). Business Statistics Using EXCEL and SPSS. London: Sage Publications. ISBN: 9781848602205
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’Reilly. 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.