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A-Level Maths: Statistics (Year 2)
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Introduction and sample videos (FREE TO VIEW)9 Lessons
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Introduction
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Measuring Correlation (FREE TO VIEW)
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Calculating the Product Moment Correlation Coefficient (PMCC) (FREE TO VIEW)
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The Conditional Probability Formula (FREE TO VIEW)
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Conditional Probability on Tree Diagrams (FREE TO VIEW)
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Calculating Normal Distribution Probabilities (FREE TO VIEW)
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The Inverse Normal Function (FREE TO VIEW)
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Normal Approximations to the Binomial Distribution - part 1 (FREE TO VIEW)
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Normal Approximations to the Binomial Distribution - part 2 (FREE TO VIEW)
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Introduction
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Correlation and Regression10 Lessons|7 Quizzes
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Measuring Correlation
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Calculating the Product Moment Correlation Coefficient (PMCC)
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Equations of Regression Lines
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Testing for Correlation
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One-Tailed Hypothesis Tests for Correlation
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One-Tailed Hypothesis Tests for Correlation - Further Example
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Two-Tailed Hypothesis Tests for Correlation
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Non-Linear Data - Exponential Models
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Non-Linear Data - Polynomial Models
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Correlation and Regression Exam Questions
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Measuring Correlation
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Conditional Probability7 Lessons|5 Quizzes
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The Normal Distribution17 Lessons|16 Quizzes
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What is the Normal Distribution?
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The 68 - 95 - 99.7 Rule
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Calculating Normal Distribution Probabilities
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The Inverse Normal Function
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Finding Unknown Standard Deviations
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Finding Unknown Means
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Finding Unknown Means and Standard Deviations
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Normal Approximations to the Binomial Distribution - part 1
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Normal Approximations to the Binomial Distribution - part 2
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Normal Approximations to the Binomial Distribution - part 3
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Normal Hypothesis Tests - Intro
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One-Tailed Normal Hypothesis Tests
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Two-Tailed Normal Hypothesis Tests
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Critical Regions in Normal Hypothesis Tests
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Forming New Distributions from Normal Distributions
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Conditional Probability with Normal Distributions
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Normal Distribution Exam Questions
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What is the Normal Distribution?
Section 1,
Lesson 7
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The Inverse Normal Function (FREE TO VIEW)
Woody Lewenstein January 26, 2021
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