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Statistics — Third Secondary
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Curriculum
Statistics — Third Secondary
Unit 1: Correlation and Regression
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Correlation
Text lesson
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Correlation — Lesson quiz
6 questions
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Regression
Text lesson
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Regression — Lesson quiz
6 questions
Preview
Unit 2: Advanced Statistical Measures
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Advanced Measures of Dispersion
Text lesson
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Advanced Measures of Dispersion — Lesson quiz
6 questions
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Unit 3: Probability
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Conditional Probability and Independent Events
Text lesson
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Review: sample space and events
Conditional probability
The multiplication rule
Independent events and mutually exclusive events
Worked examples
Common mistakes
Lesson summary
Conditional Probability and Independent Events — Lesson quiz
6 questions
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Unit 4: Random Variables
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Discrete Random Variables
Text lesson
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Discrete Random Variables — Lesson quiz
6 questions
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Expectation and Variance
Text lesson
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Expectation and Variance — Lesson quiz
6 questions
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Unit 5: The Normal Distribution
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The Normal Distribution and Its Applications
Text lesson
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The Normal Distribution and Its Applications — Lesson quiz
6 questions
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Text lesson
Conditional Probability and Independent Events
Statistics — Third Secondary
Conditional Probability and Independent Events
Explanation
Practice
Conditional probability
Conditional probability
The conditional probability of A given B is the probability that A occurs, knowing that B has already occurred.
It is written P(A | B).
The idea is that the sample space shrinks to the event B, and we look for the outcomes of A inside B only.
It is calculated by:
P(A | B) = P(A ∩ B) ÷ P(B), where P(B) ≠ 0
It can also be found from a two-way table by taking only the row or column of B
and
finding the fraction of that row or column that satisfies A.
Conditional Probability and Independent Events · 2 / 7
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