Managerial Statistics for Innovation

About the course

Subjects

Statistics Quantitative methods

Course content

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?

See course description in course catalogue

What you will learn

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.

Facts

Level

Master

Type

Mandatory course – also offered as elective

ECTS

7.5

Code

CIHCO2007U

Teaching periods

Autumn – 1st quarter

Academic year

2024/2025

Status

Available places

Teaching language

English

Teaching Format

Hybrid

Exams

Written exam on campus
Individual exam, winter

Assessment type

7 point grading scale