Alright, future engineers!
**P-value** is the probability of observing results as extreme as yours *if the null hypothesis is true*.
Ex: If P < 0.05, we often reject the null.
Pro-Tip: A low P-value means strong evidence *against* the null, not that it's impossible!

#Statistics #HypothesisTesting #STEM #StudyNotes

P-value: Probability of observing data as extreme as yours, *if* the null hypothesis were true. Ex: p=0.01 means a 1% chance. Pro-Tip: A small p-value (<0.05) often means you can reject the null hypothesis & your finding is significant!

#Stats #HypothesisTesting #STEM #StudyNotes

#statstab #478 Equivalence Tests {marginaleffects}

Thoughts: Often you want to test "no difference" in more complex models than many packages or software permit.
With a few lines of code you can do that for most models.

#Equivalence #noeffect #rstats #TOST #EQ #NHST #hypothesistesting

https://marginaleffects.com/chapters/predictions.html#sec-predictions_visualization

ArkhamMirror: Airgapped investigation platform with CIA-style hypothesis testing

https://github.com/mantisfury/ArkhamMirror

#HackerNews #ArkhamMirror #Airgapped #CIA #HypothesisTesting #Cybersecurity

In an hour and a half (12:30 UTC / 14:30 CET) I'll give a lightning talk at the online BTS conference about the tool we are putting together for standardizing hypotheses.

Free registration: https://bigteamscienceconference.github.io/
Tool: https://tinyurl.com/hypothesizer
Slides: https://docs.google.com/presentation/d/1DMCCcvT5l_R7hC-2JH3kf0sSWBnzJvHZZOEPaS8tM5A/edit

#BigTeamScience #BigTeamScience2025 #bts2025 #OpenScience #HypothesisTesting #NHST #HypothesisStandardization #hypothesizer #AcademicChatter

Statistics: Concepts and Controversies (10th Edition) – eBook

Overview: Why This Book Matters

Statistics: Concepts and Controversies (10th Edition) — widely abbreviated as SCC 10e — is more than just a statistics text

https://cstbooks.com/uncategorized/statistics-concepts-and-controversies-10th-edition-ebook/

#Inspirations #Uncategorized #ConfidenceIntervals #DataLiteracy #DavidSMoore #HypothesisTesting #SCC10e #StatisticalReasoning #StatisticsConcepts #WHFreeman #WilliamINotz

Intro to Statistical Analysis with SAS/STAT Software | CoListy
Learn t-tests, ANOVA, regression, and predictive modeling with SAS/STAT. Master essential statistical techniques for data analysis. | CoListy
#freeonlinelearning #colisty #courselist #sas/stat #statisticalanalysis #anova #regression #logisticregression #predictivemodeling #sasprogramming #procglmselect #datavisualization #categoricaldataanalysis #hypothesistesting #proclogistic

https://colisty.netlify.app/courses/statistics-1_-introduction-to-anova_-regression_-and-logistic-regression/

What is the chance that: if I repeat an experiment (that has a statistically significant result), the repeated experiment also has a significant result in the same direction?

This paper carefully constructs a relationship between p-values and #replication probability for binary classification.
https://jmlr.org/papers/v25/24-0158.html
#MachineLearning #HypothesisTesting

I’ve just released a new YouTube video on how to perform an analysis of variance (ANOVA) using the R programming language.

Check out the video: https://www.youtube.com/watch?v=b2KmIWGQkrU

This video is also a preview of the upcoming Statistics Globe online course, "Statistical Methods in R," which starts on September 9.

Check out the course: https://statisticsglobe.com/online-course-statistical-methods-r

#statistics #anova #hypothesistesting #datascience #rstats