At the end of this course, the student:
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has insight in the different types of variables (quantitative [numerical] vs qualitative [non-numerical]);
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has insight in the ways in which data can be summarized graphically;
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has insight in the ways in which data can be summarized numerically (measures of location and dispersion);
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has insight in the different types of frequency measures (‘absolute’, ‘relative’ and ‘cumulative’ frequency);
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understands the basic principles of normally distributed data and the standard normal distribution;
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understands the basic principles of sampling of data and estimation based on samples;
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understands the basic principles of hypothesis testing;
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is able to perform simple statistical analyses in the statistical packages SPSS and R.
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Period (from-till): This course is taught several times per year, during fulltime weekdays according to the following Schedule (Face-2-Face in Period A, Online in Period B):
Education form |
Startdate |
Enddate |
Registration period |
Face-2-Face |
25-09-2023 |
29-09-2023 |
BMS_P1_A |
Online* |
25-09-2023 |
13-10-2023 |
BMS_P1_B |
Online* |
26-02-2024 |
15-03-2024 |
BMS_P3_B |
*Online courses are only available for Epidemiology students following a full online programme.
Contact details: Educational Office Epidemiology
E-mail: msc-epidemiology@umcutrecht.nl
Registration:
Single courses — MSc Epidemiology (msc-epidemiology.nl)
Course coordinator
C.L.J.J. Kruitwagen, MSc
UMC Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht, the Netherlands
Faculty
C.L.J.J. Kruitwagen, MSc
UMC Utrecht, Julius Center for Health Sciences and Primary Care
Course description:
This course provides basic knowledge of statistics. The course is aimed to level differences in prior knowledge among students and provide the necessary base for the next two statistical courses in the MSc Epidemiology programme.
Literature/study material used:
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Mandatory for students in own Master’s programme:
Epidemiology & Epidemiology Postgraduate
Optional for students in other GSLS Master’s programme:
Yes
Prerequisite knowledge:
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