Introduction to Statistics (Online) - FULLY BOOKED

Course description

This course will provide you with a basic understanding of statistics and enables you to interpret research data, and to explain and use different types of variables. This course can best be followed at the start of the PhD track.

Learning objectives

This course explains and uses the different types of variables: quantitative (numerical) vs qualitative (non-numerical) with their corresponding sub-types (continuous, discrete, ordinal, non-ordinal). You will learn how to interpret univariate graphs and calculate descriptive statistics, (standard) normal and binomial probabilities and confidence intervals. At the end of the course you can perform simple statistical analyses in the statistical packages SPSS and R.

In particular, 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

Course program

The online course is a 3 week part-time course with a study load of 14 hrs/w. Web lectures, assignments and group discussions are the learning methods that will be used. There are interim deadlines and the course ends with an exam.

Start: 26 September 2022

End: 14 October 2022

Course material

We will use the Introductory statistics (biometrics) e-book for the statistical theory. For extra practice material, you can use the Exercises e-book (please note that to make full use of CAST you have to have JAVA installed on your computer).

Group size

8 to 30 participants

Number of credits

1.5 EC

Course certificate

Participants will receive a certificate when they completed the practical exercises (self-study), attended at least 80% of the classes and passed the exam.

Course fee

We offer 10 places for free for PhD candidates registered with the Graduate School of Life Sciences via MyPhD. Be quick, these 10 places tend to be taken soon. Important: you can only use one of these places for 1 course organised by the Julius Center (Introduction to Epidemiology, Introduction to Statistics, Modern Methods, Study Design in Etiologic Research).

Cancellation and No-show policy

This course is free for GSLS PhD candidates. However: free of charge does not mean free of responsibility. Once you have signed up for a course, we expect you to attend. For every late cancellation or no-show we have had to disappoint others who would have liked to attend. This is our policy:

• You may cancel free of charge up to 4 weeks before the start of the course. After this date you can only cancel if you have a GSLS PhD candidate to replace you in the course. Send the name and contact information of your replacement to pcc@uu.nl, at least 2 working days before the start of the course;

• We expect that you actively attend the full course. You have to complete the total E-learning.

• Not meeting the above requirements means you will be charged a no-show fee. We will send the invoice after the course has ended. We are unable to make any exceptions, unless you have a valid reason (i.e., illness or death in the family 1^st/2^nd degree or partner). Your supervisor has to send an e-mail to pcc@uu.nl indicating the reason.

More information and registration

Registration is closed. Course fully booked

Interest list

Is this course fully booked? Or would you like to follow a course at a later moment? When you subscribe to the interest list external link of a course, you will receive an e-mail when a new edition opens for registration. The interest list is for GSLS PhD candidates only.