# chap-4 - Chap 4 Normal Distribution Chapter 4 1 Summary of...

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1 1 Chap 4: Normal Distribution Chapter 4 2 Summary of Chap 3 3.1 S imple random sample, 3.2 Probability Calculation Frequency interpretation Probability tree – for categorical variable z How to calculate Pr(Y=yi) = ? probability rule 3.3. Interpretation of Density Curve – for continuous variable z How to calculate Pr( a<Y<b) = ? 3.4 Random Variable – E(Y), Var(Y)= σ 2 y , SD(Y)= σ y 3.5 Binomial distribution distribution formula, examples, probability calculation. Mean (expectation), Variance, and standard deviation.

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2 3 Content Flow Chart Probability Binary Outcomes (Y: 0, 1) Example Æ Chap.3 Binomial Distribution Continuous Outcomes (Y) Example Æ Chap.4 Normal Distribution Random Variable 4 Outline of Chap 4 4.1 – introduction and formula 4.2 – shapes 4.3 – Standard Normal The standardized Scale 4.4. – Areas under the curve, and how to use Table 3 at Page 675-676, and examples for two applications, including inverse reading. 4.5 – checking normality.
3 5 4.1 When to use it?

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