This is a thread on statistics in science: 1/7 (via @LogicofScience)

Basic
Statistics Part 1: The Law of Large Numbers https://t.co/wUH8eAAIak

#Science #Statistics

Basic Statistics Part 2: Correlation vs. Causation

https://t.co/Azhyl8pDsX (2/7)
Basic Statistics Part 3: The Dangers of Large Data Sets: A Tale of P values, Error Rates, and Bonferroni Corrections

https://t.co/LetN6aEBRM (3/7)
Basic statistics part 4: understanding P values

https://t.co/K8MMMgTCOf (4/7)
Basic Statistics Part 5: Means vs Medians, Is the “Average” Reliable?

https://t.co/xDdsknlZyt
(5/7)
Basic Statistics Part 6: Confounding Factors and Experimental Design

https://t.co/yGxTh2HPf9 (6/7)
When can correlation equal causation?

https://t.co/Vl3JmC8NMe (7/7)
While you are here, also have a look at this thread on rules of logic:

https://t.co/OtVrL0nyIl
Thanks for your patience.

May be mark this thread too for reading later? One on logical fallacies: https://t.co/Z7S9kNsFoI

-End-

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