Applications of Statistics (B-KUL-HMI31A)
Aims
Upon completion of this course, the student gained insight in a number of statistical methods and their applications in daily business. In particular, the student will be able to
- See the relevance of the statistical methods for business and economics
- Explain the different statistical models and methods
- Show that the methods are well understood
- Identify the most appropriate statistical method for a given problem
- Correctly use the statistical models and methods
- Write a software program to read and manipulate data
- Write a software program to analyze data correctly
- Interpret the results of a statistical analysis and related software output
Previous knowledge
The course assumes students have attended a course in business statistics with an introduction to regression analysis (for instance Statistics for Data Science, 2nd Ba Business Engineering).
More specifically the mathematical and statistical concepts that are assumed to be known are: basic mathematics; basic functions (exponential, logarithmic, polynomial); basic mathematical notation (sum sign, product sign, Greek symbols,…); vector and matrix operations (addition, multiplication,…); solving a system of linear equations; inverse of a matrix; eigenvectors and eigenvalues; probability; conditional probability; rule of Bayes; random variables; continuous and discrete random variables; density function and cumulative distribution function; continuous distributions (uniform, normal, exponential,…); discrete distributions (binomial); random sample from a population; graphical data representation (histogram, frequency tables, … ); sample mean, sample variance; expectations; sampling distribution (central limit theorem); construction of confidence intervals; testing hypotheses and type I and type II error; general understanding of a p-value; linear regression.
Identical courses
This course is identical to the following courses:
D0O70A : Applications of Statistics
D0I90A : Toepassingen van statistiek
Is included in these courses of study
Activities
6 ects. Applications of Statistics (B-KUL-HMI31a)
Content
Introduction
Review of basic concepts
Introduction tot he software
Multiple regression
Econometrics
Analysis of variance
Logistic regression
Survival analysis
Principal component analysis
Factor analysis
Discriminant analysis
Cluster analysis
Course material
Slides, Code and Applications will be made available for the students on Toledo
Free software
Format: more information
Blended learning
Evaluation
Evaluation: Applications of Statistics (B-KUL-H75357)
Explanation
Evaluation characteristics
The continuous assessment consists of 4 tasks, each graded on 1 point. For each assignment, data must be analyzed and a number of closed questions must be answered online, based on the results obtained. The individualized data and related questions are made available for a short period on TOLEDO and the answers must be submitted before the deadline. The deadline is set by the teacher and communicated via TOLEDO. Each assignment is automatically graded on 1 point. If the specified deadline has not been respected, the result for that task is 0.
The written open book exam during the exam period is graded on 16 points. This exam can contain open, closed and multiple choice questions and a calculator can be used. A correction for guessing is applied when assessing multiple choice questions.
Determination of the end result: the end result is the maximum of
- the sum of the points obtained on the continuous assessment and on the written open book exam.
- the points on the written open book exam, reweighted on 20.
Information about retaking exams
Evaluation characteristics
At the exam in the PC room during the exam period, a data set has to be analyzed and some closed questions must be answered based on the results obtained. This part is graded on 4 points.
The written open book exam (which takes place on the same day as the exam in the PC room) is graded on 16 points. This exam can contain open, closed and multiple choice questions and a calculator can be used. A correction for guessing is applied when assessing multiple choice questions.
Determination of the end result: the end result is the sum of the points obtained on the exam in the PC room and on the written open book exam.