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โœŒ๏ธย  Unit 2 - Exploring Two-Variable Data

โš–๏ธย  Unit 6 - Inference for Categorical Data: Proportions

๐Ÿ˜ผย  Unit 7 - Inference for Qualitative Data: Means

โœณ๏ธย  Unit 8 Inference for Categorical Data: Chi-Square

๐Ÿ“ˆย  Unit 9 - Inference for Quantitative Data: Slopes

๐Ÿงย  Multiple Choice Questions (MCQs)

4.4 Mutually Exclusive Events

#anticipatingpatterns

โฑ๏ธย ย 1 min read

written by

kanya shah


Mutually Exclusive vs. Independence

Focus on identifying when events are mutually exclusive or independent. They cannot be both simultaneously.ย  The event โ€œA and Bโ€ is known as the intersection or joint probability, denoted by AB. Its composed of all outcomes that are common to both events.

Two events are mutually exclusive if they cannot occur at the same time and have no outcomes in common. That means that P(A and B) = 0. The addition rule for mutually exclusive events A and B states that P(A or B) = P(A) + P(B). Understand that this rule works for mutually exclusive events only.ย 

๐ŸŽฅWatch: AP Stats - Probability: Two way tables, Conditional, Independence, Tree Diagrams, Etc.

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Courtesy of Online Math Learning

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