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- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/03%3A_Probability_Topics/3.11%3A_Formula_ReviewThis page defines key probability terminology, including events A and B, sample space S, and associated probabilities. It explains independent events (probabilities that multiply) and mutu...This page defines key probability terminology, including events A and B, sample space S, and associated probabilities. It explains independent events (probabilities that multiply) and mutually exclusive events (no overlap). The page also outlines two fundamental rules: the multiplication rule for joint probabilities and the addition rule for the union of events.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/03%3A_Probability_Topics/3.02%3A_Independent_and_Mutually_Exclusive_EventsThis page discusses probability concepts such as independent and dependent events, including definitions and examples of sampling with and without replacement. It emphasizes the importance of mutual e...This page discusses probability concepts such as independent and dependent events, including definitions and examples of sampling with and without replacement. It emphasizes the importance of mutual exclusivity, illustrated by coin flips. Key topics include calculating joint and conditional probabilities, checking independence, and the relationships between events using practical examples.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/03%3A_Probability_Topics/3.10%3A_Chapter_ReviewThis page provides an overview of fundamental probability concepts, including terminology, independent and mutually exclusive events, and essential probability rules. It discusses sampling methods and...This page provides an overview of fundamental probability concepts, including terminology, independent and mutually exclusive events, and essential probability rules. It discusses sampling methods and introduces visual tools such as contingency tables, probability trees, and Venn diagrams. These tools assist in organizing data and clarifying relationships between events, enhancing the understanding of intersections, unions, complements, and conditional probabilities.
