# 2023/2024  KAN-CIHCO2007U  Managerial Statistics for Innovation

 English Title Managerial Statistics for Innovation

# Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory (also offered as elective)
Level Full Degree Master
Duration One Quarter
Start time of the course First Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Max. participants 45
Study board
Study Board for MSc in Business Administration and Innovation in Health Care
Course coordinator
• H.C. Kongsted - Department of Strategy and Innovation (SI)
• Statistics and quantitative methods
Teaching methods
• Blended learning
Last updated on 03-02-2023

Learning objectives
The objective is to introduce the basics of descriptive and inferential statistics for management applications and build both a theoretical foundation and a practical knowledge about how to implement statistics in real analysis-based situations. A proper correspondance between the research question being asked, the data available or collected to investigate that particular problem, and the statistical methods applied for the analysis is emphasized in the course.
In this course attendants will learn about foundations of statistics, in particular: descriptive statistics (i.e. summary statistics and graphical tools), hypothesis testing (t-test of means, differences in groups’ distributions, etc.), correlations, simple linear regression, and multiple regression analysis. Emphasis will be placed on interpretations of the statistics and applicability. Thus, attendants will apply statistical concepts to real data and touch upon typical data-analyst challenges and solutions.

To be awarded the highest mark (12), the student, with no or just a few insignificant shortcomings, must fulfill the following learning objectives:
• Understand the theoretical foundations of descriptive statistics
• Understand the theoretical foundations of inferential statistics
• Apply in practice descriptive statistics using real data
• Apply in practice inferential statistics using real data
Course prerequisites
No strict prerequisites. It would be ideal to have some familiarity with basic statistics.

This is a mandatory course for the MSc in Business Administration and Innovation in Health Care.

To sign up send a 1-page motivational letter and a grade transcript to ily.stu@cbs.dk before the registration deadline for elective courses. You may find the registration deadlines on my.cbs.dk ( https:/​/​studentcbs.sharepoint.com/​graduate/​pages/​registration-for-electives.aspx )

Please also remember to sign up through the online registration.
Examination
Course content, structure and pedagogical approach

The course will cover the basics of managerial statistics in order to provide the attendants with a solid basis on both descriptive and inferential statistics. Attendants will be exposed to primary techniques of data analysis useful in real-life settings. The first part of the course will be focused on Descriptive Statistics, which will be based on the following main questions:

• How are data described? Which type of data are we in front of?
• How do we define a variable?
• What is a sample? What is the difference between sample and population?
• What are the central tendency characteristics of a variable?
• How can we describe the dispersion of a variable? And its shape?

In the second part of the course, attendants will be introduced to foundations of Inferential Statistics, thus dealing with the following questions:

• What is the difference between two groups? How to assess it?
• What is the relationship between two variables?
• How do we create predictions?
• What is an estimator?
• How do we pick the correct estimator to predict our effect?
Description of the teaching methods
The course aims to be a balance between statistical theory and practice. An important part of the learning process is establishing a proper data-analytical strategy. Students are invited to provide their own examples from a healthcare context to be discussed in class.

The statistical theory will be discussed in the lectures to make attendants aware about the necessary understanding of each statistics topic to be eventually able to build their own analytical strategy suitable for a particular problem. The practice will be delivered in the lectures and the workshops to train the attendants to the day-by-day challenges of data analysis.

Ideally a lecture will have the following components:

• Delivery of the theory about a specific statistics topic.
• Acquisition of the analytical tool and individual practice in class guided by the
faculty
• Group exercise using real-life database

The workshops are sessions in which students work under guidance to solve an assignment based on a real-life data set. Students will be introduced to STATA (12.0 version or more recent), which is the software of reference for this course. Attendants will be instructed on the useful commands throughout the development of the course. They are expected to familiarize themselves with basic ability in this software, such as uploading a file, saving a DO and DTA file, and similar basic commands. MS Excel will be also used, in particular at the beginning of the seminar for the Descriptive Statistics section.
Feedback during the teaching period
There will be regular office hours throughout the course in which attendants will have the opportunity to get feedback on their learning from the course lecturer. The students will have the opportunity to get feedback on their learning of the hands-on application of statistical methods during the workshop sessions.
 Lecture confrontation hours (12 sessions) 36 hours Reading hours 108 hours Workshops (6 sessions) 18 hours Exam preparation 45 hours
Further Information
• Highly interactive course in class
• Sessions are a mix of frontal teaching, class case discussion, small groups exercise.
• Examination is about reviewing main theoretical aspects and applying concepts discussed in class to a particular real-life problem.
• Group work is relevant to the learning experience.
Expected literature

There is no a specific list of reference to use or requested or expected. Yet, suggested materials are (the most recent a version is, the better):

• Berenson et al. Basic Statistics for Business, Pearson
• Wooldridge, Introductory Econometrics: A modern approach, South-Western
Last updated on 03-02-2023