Statistical Tests
The course covers topics such as parametric and non-parametric tests, post-hoc tests, confidence intervals, hypotheses
Ratings 5.00 / 5.00
What You Will Learn!
- How we divide statistical tests
- How to make correct statistical hypotheses
- How to verify the assumptions of parametric tests
- What errors occur when testing statistical hypotheses
- What are confidence intervals and how do we determine them
Description
Basic information about the course
The course aims to familiarize the listener with issues related to statistical tests. The course covers topics such as parametric and non-parametric tests, post-hoc tests, confidence intervals, hypotheses, and statistical errors.
Who this course is designed for:
The course is intended for anyone who wants to refresh their knowledge of basic statistical concepts or is just starting to delve into the topic of statistical analysis.
Course details
What will you learn?
Thanks to this course, you will learn how we classify statistical tests, how to correctly formulate hypotheses for such tests, and how to verify their assumptions. The author of the course will also present the types of errors distinguished in statistics and show how to calculate confidence intervals for selected parameters.
Time required to complete the course
aprox. 8 h
Training format
Online Platform
Number of lessons
5 lessons
Access to the course
30-day access, course available 24/7
Requirements (e.g. knowledge of MS Excel)
Basic knowledge of operating a computer with Windows system.
Why is it worth it?
We guarantee:
training without leaving home
trainers with practical experience
access to training materials at any time
training at your own pace
Certificate of competence from a recognised brand in the Polish market
Who Should Attend!
- Individuals aspiring to work in the clinical research industry.
- Employees in the clinical research industry, in positions such as clinical trial assistant (CTA), clinical research associate (CRA), project manager and others related to clinical research practice.
- Doctors whose medical and scientific activities are related to clinical research.
- Academics who use statistical analysis in their research.
- Students who need basic knowledge of statistics.
