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| courses:psaw:lab_stats [2022/05/11 13:59] – created - external edit 127.0.0.1 | courses:psaw:lab_stats [2024/03/18 16:55] (current) – 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 |
| - 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]] |
| - Report: | |
| - Send the final version of the notebook (to download it, click in Google Colab: ''File > Download > Download .ipynb''). Make sure you have done all **8 tasks**. | |
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| ==== Learn more! ==== | ==== Learn more! ==== |
| * [[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 |