Basic statistics theory

E-Learning

basic statistics theory

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This course is e-learning only. Please register first on the training web site. There are no online or face-to-face sessions.

Questions can be asked to janick.mathys@vib.be.

Slides

Slides by Janick Mathys
Slides by Leander Meuris

Course Content

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Factors of an experiment

Confounding factors

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Types of replicates in relation to N

Power analysis and improvement

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Categorical or quantitative?

Are data from a normal distribution?

Do the groups have equal spreads?

Dependent or independent data?

How many factors?

Choosing the right statistical test

When to use tests based on linear models?

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Mode to describe the center of the data

Median to describe the center of the data

Mean to describe the center of the data

Other measures for the center

Variation ratio to describe the spread of the data

Interquartile range to describe the spread of the data

Standard deviation to describe the spread of the data

How to describe your data?

Interpretation of the mean

Standard error of the mean and confidence intervals

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How do statistical tests work?

Data used by statistical tests

What to report for a statistical test?

p-values are not the word of God

How the report the outcome of statistical tests that compare 2 groups?

How to report the outcome of statistical tests that compare more than 2 groups?

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How to visualize the data?

How to visualize statistics?

Colors in graphs

How to visualize the results of the statistical tests?

What if the X-axis is quantitative?

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What is correlation?

For what can you use correlations?

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Don’t use Excel for statistics

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Further reading/watching

Contributors: Janick Mathys, Joris De Wolf, Leander Meuris

Created by Janick Mathys

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