Updated hypothesis testing

prep/hypothesistesting.md

@@ -2,16 +2,14 @@
 
 As a preparation for the Hypothesis Testing convocation, make yourself acquainted with the material below, and subsequently complete any tasks assigned to you in canvas.
 
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 2. Read the sections in the Data Science Book on [Hypothesis Testing](https://www.kaell.se/dsbook/statistics/significance.html).
-3. Investigate the jupyter notebook on [Differential expression anlaysis of the TCGA breast cancer set](../nb/testing/). If you want some study questions we provide some [here](../nb/testing/questions.md)  
-4. Read previous years [questions and answers](../qa/testing) on the material. 
+3. Investigate the jupyter notebook on [Differential expression anlaysis of the TCGA breast cancer set](https://www.kaell.se/dsbook/statistics/testing.html). If you want some study questions we provide some [here](../nb/testing/questions.md)  
+5. Perform the assignments in Canvas
 
 
 ### Additional/Alternative material
 
 1. StatQuest on [Hypothesis testing](https://www.youtube.com/watch?v=0oc49DyA3hU) and [*p* values](https://www.youtube.com/watch?v=vemZtEM63GY)
-2. Khan Academy on [Hypothesis testing](https://www.khanacademy.org/math/statistics-probability/significance-tests-one-sample/more-significance-testing-videos/v/hypothesis-testing-and-p-values)
 4. Wikipedia entries for [*p* value](https://en.wikipedia.org/wiki/P-value), [*p* value falacy](https://en.wikipedia.org/wiki/Misuse_of_p-values), [Volcano plots](https://en.wikipedia.org/wiki/Volcano_plot_(statistics)) and [permutation tests](https://en.wikipedia.org/wiki/Permutation_test).
 3. Stackexchange comments on [Fisher vs. Neyman & Pearson framework](https://stats.stackexchange.com/questions/23142/when-to-use-fisher-and-neyman-pearson-framework)
 4. XKCD on [p-hacking](https://www.explainxkcd.com/wiki/index.php/882:_Significant)