Curriculum
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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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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 or expected value
Variance and standard deviation
Properties of expectation and variance
Expectation in games and decisions
Worked examples
Common mistakes
Lesson summary
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
Expectation and Variance
Statistics — Third Secondary
Expectation and Variance
Explanation
Practice
Expectation in games and decisions
Expectation in games and decisions
Expectation is used to find the expected gain or loss in the long run.
If the expected gain of the player is positive, the game favours the player.
If it is negative, the game favours the organiser.
If it is zero, the game is fair.
Note that a negative expectation does not mean that the player loses every time; it is the long-run average.
The standard deviation in such cases tells us how much the gain fluctuates around its average, that is, how risky the game is.
Expectation and Variance · 4 / 7
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