Introduction to Statistics
''Learn the basics of statistics.''
Geared towards people studying and working in the health domain, the course will enable you to interpret research data, and to explain and use different types of variables.
- Entry requirements:
• An academic (university) level of thinking
• Access to the computer programs SPSS & R
- Start date(s):
- 22 February 2021
- Time investment:
- Three weeks of 14 hours per week.
- Faculty of Medicine
- Fee: This fee is exempt from VAT
- Extra information:
This Introduction to Statistics course includes a multiple-choice exam, which is the only part of the course that is not online.
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.
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
- 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