chap-5 - Chap 5: Sampling Distribution Chapter 5 1 Content...

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1 1 Chap 5: Sampling Distribution Chapter 5 2 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
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2 3 Review 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. 4 Outline of Chap. 5 5.1 – introduction on sampling distribution concepts 5.2 – Binary observations Y, or, sampling distribution of , when Y is binary. Examples. 5.3 – sampling distribution’s dependence on sample size n. Normal approximation for Binomial distribution. 5.4. – Continuous observation “Y”, or Sampling distribution of for continuous Ys. Examples. p ˆ p ˆ
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3 5 5.1 Introduction on sampling distribution z Question: How close is the sample to population? z
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chap-5 - Chap 5: Sampling Distribution Chapter 5 1 Content...

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