Describe a random experiment by its sample space, the set of all possible outcomes, and treat events as subsets of it. Then write compound events as set expressions: exactly one of two events, none of several events, and not all of them.
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Lesson 03 · Exactly one of two events
The shaded region holds the outcomes in
It is also the set difference
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The 4 lessons in this unit. Expand any one to see what it covers. Each unlocks when its own prerequisites are passed.
01
Random experiments and outcomes
12 questions
Learn how to identify random experiments versus deterministic ones, define outcomes and sample spaces using set notation, and construct sample spaces for multi-stage random experiments.
Covers
What is a random experiment
Outcomes and sample spaces
Multi stage experiments
02
Events as sets of outcomes
8 questions
Learn how to represent events as subsets of a sample space, distinguish between simple and compound events, and identify the certain event and the impossible event as the two extremes of any probability model.
Covers
Events as subsets
The certain and impossible events
03
Exactly one of two events
8 questions
Learn how to write the event that exactly one of two events occurs as a set expression, either as one event occurring without the other or as the union with the overlap removed.
Covers
Exactly one of ,
Exactly one as union minus overlap
04
None versus not all
9 questions
Learn how to write the event that none of several events occurs, and the event that not all of them occur, as set expressions built from complements, and tell the two apart.
Covers
None of the events
Not all of the events
This unit is part of our Essential Probability & Statistics for ML learning path, which contains 15 lessons. Every one of them is drawn below.
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4 lessons in this unit
11 prerequisite lessons across the unit, counting every step back to the start
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