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| courses:psaw:lab_stats [2023/01/25 10:20] – [Materials] kkt | courses:psaw:lab_stats [2026/04/01 10:02] (current) – [Materials] jeremi |
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| ==== Materials ==== | ==== Materials ==== |
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| - Q&A Session -- Instead of a lecture, a short series of keywords to "warm up". Describe (in a few words) what are: | - Q&A Session -- a short series of keywords to "warm up". Describe (in a few words) what are: |
| - Null hypothesis and Alternative hypothesis (and how they change when the t-test is one-tailed or two-tailed) | - Null hypothesis and Alternative hypothesis (and how they change when the t-test is one-tailed or two-tailed) |
| - Normal distribution | - Normal distribution |
| - Multiple comparisons | - Multiple comparisons |
| - Post-hoc tests | - Post-hoc tests |
| | [[https://ujchmura-my.sharepoint.com/:p:/g/personal/jeremi_ochab_uj_edu_pl/IQAzpK0f26obT4dRY0s743weARC5RJrcLyjeE6qPnoZGZN0?e=ZDJpKw|Statistics 101 lecture notes by J. Ochab]] |
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| - Practice session: | - Practice session: |
| - Practice the basics of statistics by using Student's t-test and ANOVA to verify some statistical hypotheses in the Jupyter Notebook: [[https://colab.research.google.com/drive/1TWc7MCHocwaaAk7bNTpofmyqYzjkLR2L?usp=sharing|Statistics 101]] | - Practice the basics of statistics by using Student's t-test and ANOVA to verify some statistical hypotheses in the Jupyter Notebook: [[https://colab.research.google.com/drive/1TWc7MCHocwaaAk7bNTpofmyqYzjkLR2L?usp=sharing|Statistics 101]] |
| * [[https://www.kdnuggets.com/2019/07/p-values-explained-data-scientist.html|P-values Explained By Data Scientist]] -- how to understand the p-values | * [[https://www.kdnuggets.com/2019/07/p-values-explained-data-scientist.html|P-values Explained By Data Scientist]] -- how to understand the p-values |
| * [[http://mattgolder.com/interactions|Interactions | Matt Golder]] -- a very detailed explanation of what interactions in linear models are and are not | * [[http://mattgolder.com/interactions|Interactions | Matt Golder]] -- a very detailed explanation of what interactions in linear models are and are not |
| | * [[https://www.youtube.com/watch?v=YfNx42c4Vow| Different types of error rates | mumfordbrainstats]] -- explanation and visual comparison of PCER, FWER, and FDR for multiple comparisons problem in voxelwise testing of fMRI |