2024/2025 KANCIHCO2007U 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  


Main academic disciplines  


Teaching methods  


Last updated on 26012024 
Relevant links 
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 analysisbased
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 (ttest 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 dataanalyst 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:


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 1page 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/registrationforelectives.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 reallife settings. The first part of the course will be focused on Descriptive Statistics, which will be based on the following main questions:
In the second part of the course, attendants will be introduced to foundations of Inferential Statistics, thus dealing with the following questions:


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 dataanalytical 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 daybyday 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 reallife database The workshops are sessions in which students work under guidance to solve an assignment based on a reallife 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 handson application of statistical methods during the workshop sessions.  
Student workload  


Further Information  


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):
