Core Course
MB730 – Quantitative & Qualitative Methods
Course Unit Code: MB730
Type Of Unit: Core
Level of Course Unit: Second cycle
Year of Study: First/second year
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 statistics and to provide the appropriate theoretical and practical skills necessary for collecting, analyzing and interpreting data to cond uct research and data analysis.
Learning Outcomes
- Identify the different types of business problems that can be addressed through quantitative research.
- Apply tabular, graphical, and descriptive methods in order to study and understand a variable.
- Identify the basic concepts of probability theory and probability and sampling distribution.
- Analyze and draw conclusions using a confidence interval and a hypothesis test.
- Apply statistical methods in order to study and understand the relationship between two or more variables.
- Analyze data using Microsoft Excel.
Course Content
Course Features
Planned learning activities and teaching methods
Presentation of concepts and theories with exercises; in – class discussions and debates; case studies; presentations; individual and team – work; demonstration of statistical use on a computer
Assessment methods and criteria
20% Class Participation (including in – class exercises)
30% Individual Assignment
40% Group Project
10% Presentation of the Group Project
Instruction Language
English
Work placement(s)
Not applicable
Readings
Textbooks:
1. Anderson, D.R, Sweeney D.J., Williams T.A., Camm J.D., and Cochran J.J. (2018). Essentials of Modern Business Statistics with Microsoft Office Excel. Cengage Learning. Illowsky, B. and Dean, S. (2012). Collaborative Statistics. http://cnx.org/content/col10522/latest/
2. Groebner, D.F., Shannon, P.W., and Fry, P.C. (2017). Business Statistics: A Decision Making Approach. Pearson Education
3. Anderson, D.R, Sweeney D.J., and Williams T.A., (2008). Statistics for Business and Economics. Pearson Education
Online Reading: Useful online material can be found on the Khan Academy webpage (https://www.khanacademy.org):
Descriptive Statistics:
https://www.khanacademy.org/math/statistics-probability/analyzing-categorical-data
https://www.khanacademy.org/math/statistics-probability/displaying-describing-data
https://www.khanacademy.org/math/statistics-probability/summarizing-quantitative-data
www.khanacademy.org/math/statistics-probability/describing-relationships-quantitative-data
Introduction to Probability:
https://www.khanacademy.org/math/statistics-probability/probability-library
www.khanacademy.org/math/statistics-probability/counting-permutations-and-combinations
Probability and Sampling Distributions:
https://www.khanacademy.org/math/statistics-probability/random-variables-stats-library
https://www.khanacademy.org/math/statistics-probability/sampling-distributions-library
Interval Estimation:
https://www.khanacademy.org/math/statistics-probability/confidence-intervals-one-sample
Hypothesis Testing:
https://www.khanacademy.org/math/statistics-probability/significance-tests-one-sample
https://www.khanacademy.org/math/statistics-probability/significance-tests-confidence-intervals-two-samples
Linear Regression:
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
www.khanacademy.org/math/statistics-probability/advanced-regression-inference-transforming
English (UK) 
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