BI430 – Quantitative Methods & Statistical Analysis
Master of Science in Computer Science and Business Technologies
Core Course
BI430 – Quantitative Methods & Statistical Analysis
Course Unit Code: BI430
Type Of Unit: Core
Level of Course Unit: Second cycle
Year of Study: First
Semester: On demand
Number of ECTS Credits: 6
Class Contact Hours: 28
Mode of Delivery
Face to Face
Prerequisites
None
Course Objectives
The objective of this course is to introduce the fundamental concepts and tools of statistical theory, provide the appropriate theoretical and practical skills necessary for collecting, analyzing and interpreting data for addressing a business problem in the real world. Both emphasis on descriptive and inferential statistics will be given.
Learning Outcomes
- Demonstrate understanding of the value of extracting information from data and use it in the decision making process.
- Demonstrate understanding of the basic concepts used in quantitative and qualitative research.
- Create effective data visualizations.
- Use the appropriate techniques and tools to determine relationships among variables.
- Employ the most appropriate statistical methods in collecting and analyzing data for a particular research purpose.
- Demonstrate understanding of concepts like probabilities and distributions.
- Apply appropriate statistical thinking by developing and testing a hypothesis or forecasting applications related to an identified business problem.
- Demonstrate understanding of how to use statistical packages for statistical purposes.
- Build sufficient skills to provide leadership in statistical methods in the areas of their responsibility and increase their capability as managers to think statistically using data.
Course Content
Course Features
Planned learning activities and teaching methods
Lectures, in-class discussions and debates; in-class exercises and labs; team work; exercises which demonstrate the usage of statistical tools available in Microsoft Excel; in-class presentations; individual and group assignments/projects
Assessment methods and criteria
10% Class participation
40% Group assignment and presentation
50% In-class examination
Language of Instruction
English
Work Placement(s)
Not applicable
Readings
Required Textbook:
Illowsky, B. & Dean, S. (2012). Collaborative Statistics. Houston, Texas: Connexions, Rice University. Available for download under Creative Commons license at: http://cnx.org/content/col10522/latest/
Online Learning:
Descriptive Statistics:
https://www.khanacademy.org/math/probability/descriptive- statistics/central_tendency/v/statistics-intro-mean-median-and-mode
https://www.khanacademy.org/math/probability/descriptive- statistics/central_tendency/v/mean-median-and-mode
Visualization Techniques:
https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data- statistics/histograms/v/histograms-intro
https://www.khanacademy.org/math/probability/descriptive-statistics/box-and- whisker-plots/v/reading-box-and-whisker-plots
Statistics with Excel, Calculating Mean, Median, Mode and Standard Deviation:
Frequency Function and Histograms:
Z-scores in Normal Distribution:
Linear Regression:
Probability:
https://www.khanacademy.org/math/precalculus/prob_comb/basic_prob_precalc/v
/basic-probability
Binomial Distribution:
https://www.khanacademy.org/math/probability/random-variables- topic/binomial_distribution/v/binomial-distribution
Poisson Distribution:
https://www.khanacademy.org/math/probability/random-variables- topic/poisson_process/v/poisson-process-1
Normal Distribution:
https://www.khanacademy.org/math/probability/statistics- inferential/normal_distribution/v/introduction-to-the-normal-distribution
Central Limit Theorem:
https://www.khanacademy.org/math/probability/statistics- inferential/sampling_distribution/v/central-limit-theorem
Standard Error of the Mean:
https://www.khanacademy.org/math/probability/statistics- inferential/sampling_distribution/v/standard-error-of-the-mean
Sampling Distribution of the Sample Mean:
https://www.khanacademy.org/math/probability/statistics- inferential/sampling_distribution/v/sampling-distribution-of-the-sample-mean
https://www.khanacademy.org/math/probability/statistics- inferential/sampling_distribution/v/sampling-distribution-of-the-sample-mean-2
Hypothesis Testing:
https://www.khanacademy.org/math/probability/statistics-inferential/hypothesis- testing/v/hypothesis-testing-and-p-values
https://www.khanacademy.org/math/probability/statistics-inferential/hypothesis- testing/v/one-tailed-and-two-tailed-tests
https://www.khanacademy.org/math/probability/statistics-inferential/hypothesis- testing/v/type-1-errors
https://www.khanacademy.org/math/probability/statistics-inferential/hypothesis- testing/v/z-statistics-vs-t-statistics
Linear Regression and Correlation:
https://www.khanacademy.org/math/probability/regression/regression- correlation/v/regression-line-example
https://www.khanacademy.org/math/probability/regression/regression- correlation/v/correlation-and-causality
Recommended Reading:
Anderson, R.D., Sweeney, J.D. & Williams, A.T. (2012).Statistics for Business and Economics (11th ed.) Revised. South-Western: Cengage Learning.
Anderson, R.D., Sweeney, J.D. & Williams, A.T., Camm, J.D., & Cochran, J. (2014). Essentials of Statistics for Business and Economics (7th ed.) Revised. South-Western: Cengage Learning.
Keller, G. (2012). Statistics for Management and Economics. South-Western: Cengage Learning.
Quirk, T.J. (2013). Excel 2013 for Business Statistics: A Guide to Solving Practical Problems. Springer
English (UK) 
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