The aim of the course is to bring all students, irrespective of their prior knowledge, up to the necessary level to enable them to participate in other statistical courses. In order to achieve this aim, you will be tested on your statistical knowledge at the start of the course. The results will give you an insight into your own statistical strengths and weaknesses, enabling us to provide you with specific advice on how best to participate in the course.
The Introduction to Statistics course from Utrecht University is part of MSc Epidemiology Postgraduate Online; the online MSc program in Epidemiology offered by Utrecht University, University Medical Center Utrecht, MSc Epidemiology and Elevate Health
By the end of the Introduction to Statistics course, you will be able to:
- Explain and use the different types of variables: quantitative (numerical) vs. qualitative (non-numerical) with their corresponding sub-types (continuous, discrete, ordinal, non-ordinal)
- Summarize data in a graphical and numerical way, using measures of location and dispersion
In particular, you will be able to:
- Interpret data that is presented both graphically and numerically
- Calculate the different types of frequency measures: 'absolute', 'relative' and 'cumulative' frequency
- Calculate (standard) normal probabilities for, and apply standardization formula to, normally distributed data
- Calculate binomial probabilities
- Apply the principle of statistical inference from sample to population
- Perform simple statistical analysis in the statistical packages SPSS and R
As this is a university course, it is covered by academic accreditation. Upon successful completion of this course, you will receive a recognized certificate from Utrecht University and the UMC Utrecht.
- Discrete outcomes
- Binomial probability distribution
- Continuous outcomes
- The normal probability distribution
- Central Limit Theorem
- Statistical inference (estimation and hypothesis testing)
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
We are not aware of any English requirements for this programme.
To enroll in this course, you need:
- An academic (university) level of thinking
- Access to the computer programs SPSS & R
- The Cast e-book
We will use the Introductory statistics (biometrics) e-book for the statistical theory. For extra practice material, you can use the Exercises e-book. (Note that to make full use of CAST you have to have JAVA installed on your computer.)
International515 EUR/fullTuition FeeBased on the tuition of 515 EUR for the full programme during 21 days.
EU/EEA515 EUR/fullTuition FeeBased on the tuition of 515 EUR for the full programme during 21 days.