## MG461Half UnitQuantitative Analysis in Management

This information is for the 2018/19 session.

Teacher responsible

Mr Noam Yuchtman

Availability

This course is available on the Global MSc in Management, Global MSc in Management (CEMS MiM) and Global MSc in Management (MBA Exchange). This course is not available as an outside option.

Course content

Topics include random sampling, central limit theorem, hypothesis testing, simple and multiple linear regression (including ideas of confounding and statistical control), the use of dummy variables, interactions and non-linear effects of explanatory variables, collinearity, diagnostics and model development, introductory logistic regression modelling, fixed effects regression, regression discontinuity design, instrumental variables.

Teaching

20 hours of lectures, 1 hour of lectures and 13 hours and 30 minutes of computer workshops in the MT. 2 hours of lectures in the ST.

The extra one hour of lecture referred to above takes place in week 5 and is intended to help students prepare for their assessments. Students on this course will have a reading week in Week 6 of MT, in line with departmental policy

Formative coursework

Weekly homework and data exercises with periodic formative feedback by Class Teachers. 250-word data analysis project.

Agresti, A., & B. Finlay. (2009). Statistical Methods for the Social Sciences (Fourth Edition). Pearson.

Angrist, J. and S. Pischke (2015). Mastering Metrics. Princeton

Assessment

Exam (85%, duration: 2 hours, reading time: 15 minutes) in the summer exam period.
Project (15%, 500 words) in the MT.

The project is a data analysis project.

Key facts

Department: Management

Total students 2017/18: 81

Average class size 2017/18: 16

Controlled access 2017/18: Yes

Lecture capture used 2017/18: Yes (MT)

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

• Problem solving
• Application of numeracy skills
• Specialist skills

Course survey results

(2014/15 - 2016/17 combined)

1 = "best" score, 5 = "worst" score

The scores below are average responses.

Response rate: 88%

Question

Average
response

2.3

Materials (Q2.3)

1.9

Course satisfied (Q2.4)

2.2

Integration (Q2.6)

1.9

Contact (Q2.7)

1.8

Feedback (Q2.8)

2.1

Recommend (Q2.9)

 Yes 57% Maybe 36% No 7%