Transferable Skills Course: Statistical Literacy
- Start: Nov 3, 2023 09:30 AM (Local Time Germany)
- End: Nov 21, 2023 04:30 PM
- Speaker: Rick Scavetta
- Location: online
- Contact: email@example.com
Enables Life Scientists to Understand the Purpose and Uses of Classical Statistics as an Integral Part of the Scientific Method. This is the first workshop of a three-workshop-cycle on statistics (Statistical Literacy - Data Analysis with R - Data Visualization with R).
To book this course, please email firstname.lastname@example.org .
This course will take place online.
- Start eLearning: 27 October 2023
- 1st Group Session: 3 November 2023, 09.30 – 11.30
- 2nd Group Session: 10 November 2023, 09.30 – 11.30
- 3rd Group Session: 17 November 2023, 09.00 – 17.30
- Study Session: 21 November 2023, 14.30 – 16.30
One week before the first group session you will receive access to the course material, which you will need to work through before the group session. This should take up to 2 hours of your time per day.
- Good experimental design and sources of bias.
- Systematic versus random error.
- The distinction between samples and populations.
- The most appropriate ways to describe samples.
- Estimation and the principle of hypothesis testing.
- The Standard Error of the Mean and confidence intervals.
- Understanding and reporting uncertainty.
- Power, Type I and type II errors.
- Standard parametric tests and their interpretations, including p-values, test statistics and associated distributions.
Courses are now structured by modules and run for three to four weeks, giving participants a clearer structure and more time to engage with the material and the instructor. Additionally, courses include a new Study Session module where students can explore real-world case studies.