Courses Bachelor Display 2021-2022

Course Description To PDF
Course title Statistics
Course code EBC1044
ECTS credits 6,5
Period
Period Start End Mon Tue Wed Thu Fri
2 25-10-2021 10-12-2021 X X
Level no level
Coordinator Dirk Tempelaar
Language of instruction English
Goals
* Understanding of main statistical concepts and methods that shape descriptive statistics, probability models, sampling and inferential statistics.
* Apply main statistical concepts and methods that shape descriptive statistics, probability models, sampling and inferential statistics.
* Being able to reason what statistical concepts and methods match business analytics cases.
* Judging about the correctness of applying statistical concepts and methods in business analytics cases.
* Reflect on the choice for methods and their application in business analytics cases.
Description
Statistics focuses on the collection and analysis of numerical data, typically in large amounts. With the ultimate aim of doing inference: formulate conclusions and make decisions that relate to an unknown population, based on data collected in a sample. We call this type of inferential reasoning also induction, to distinguish it from the type of reasoning applied in mathematics: deduction. The main aim of this course is to introduce you to the main tools of inferential statistics, like hypothesis testing, confidence intervals, regression. However, we cannot start right away with these topics since they require a foundation. Descriptive statistics, how to describe the characteristics of data with graphs and numerical summaries, probability theory and sampling theory are buildings blocks to be mastered before starting to learn inference. Next to statistical analysis, this course aims to introduce you to statistical computing. Both R, a software environment for statistical computing and graphics and the spreadsheet program Excel are instrumental in reaching that second aim.

Formative assessment: Feedback, and three quizzes
Summative assessment: Final exam
Instructional approach: Problem Based Learning in a flipping the classroom context
Literature
Prerequisites
Keywords
Teaching methods (indicative; course manual is definitive) PBL / Lecture / Assignment
Assessment methods (indicative; course manual is definitive) Attendance / Written Exam / Assignment
Evaluation in previous academic year For the complete evaluation of this course please click "here"
This course belongs to the following programmes / specialisations
 Bachelor Business Analytics Year 1 Compulsory Course(s)