13 Nov Significance, P values and T-tests
1:00 pm - 2:15 pm
statistics seminar | level: beginner
registrations and venue via Ghent University
Are you concerned about how reproducible your data derived results will be? Have you seen statistics in a class but want to dig deeper? Are you using a statistical method but wonder if it is the best one to use?
The editors of Nature appreciate that it is tricky enough for a scientist to keep up-to-date in their own field, let alone in the ever expanding field of statistics. To help ease the burden on scientists, they have introduced a column on statistics to one of their publications, Nature Methods, called Points of Significance.
On regular occasions during the academic year, a statistician from FIRE or FLAMES will lead a discussion of a statistics topic from a Points of Significance article. We will start with the basics, that is, with the idea of sampling, work our way through a detailed discussion of ANOVA and end with more advanced topics such as Bayesian statistics.
This seminar is about Significance, P values and t-tests:
Bench scientists often perform statistical tests to determine whether an observation is statistically significant. Many tests report the P value to measure the strength of the evidence that a result is not just a likely chance occurrence. To make informed judgments about the observations in a biological context, we must understand what the P value is telling us and how to interpret it. We will develop the concept of statistical significance and tests by introducing the one-sample t-test.
This seminar is pitched towards anyone who is interested to apply statistics to their research problems.
UGent - Campus Sterre - Krijgslaan 281 - 9000 Gent
Building S9 - pc room 3.1 Konrad Zuse (3rd floor)
No prerequisites needed.