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 easystats.github.io
In defence of the 95% CI ? easystats
| | poissonisfish.com
Probability distributions in R - poissonisfish
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| | Someof the most fundamental functions in R, in my opinion, are those that deal with probability distributions. Whenever you compute a P-value you relyon a probability distribution, and there are many types out there. In this exercise I will cover four: Bernoulli, Binomial, Poisson, and Normal distributions. Let me begin with some theory first: Bernoulli...
| | statsandr.com
Student's t-test in R and by hand: how to compare two groups under different scenarios? - Stats and R
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| | Learn how to apply the Student's t-test by hand and in R in order to compare two independent or paired samples with known or unknown variances
| | blog.analytics-toolkit.com
Bayesian Probability and Nonsensical Bayesian Statistics in A/B Testing | Analytics-Toolkit.com
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| | phil-stat-wars.com
Meeting 4 (June 11) | PhilStatWars
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| IV. (June 11)Rejection Fallacies: Do P-values exaggerate evidence? Jeffreys-Lindley paradox or Bayes/Fisher disagreement: Reading: SIST: Excursion 4 Tour II Recommended (if time): Excursion 4 Tour I: The Myth of "The Myth of Objectivity" Mayo Memos for Meeting 4 -Souvenirs Meeting 4:Q: Have We Drifted From Testing Country? (Notes From an Intermission); R: The Severity Interpretation...