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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
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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
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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
The multiplication rule
The multiplication rule
From the definition of conditional probability we get the multiplication rule:
P(A ∩ B) = P(B) × P(A | B) = P(A) × P(B | A)
This rule is useful in problems that happen in stages, such as drawing from a bag without replacement.
A tree diagram helps to show the probabilities at each stage.
We multiply the probabilities along each branch.
Conditional Probability and Independent Events · 3 / 7
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