Sampling_Distribution_(continued)

# The answers could be yes or no the estimated sample

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Unformatted text preview: r No. The Estimated sample proportion is: number of successes ˆ p= n ˆ Sampling Distribution of p is approximately normal with mean equal to the population mean, p , and the standard deviation is approximate the population standard deviation p (1−p ) . n Sampling Distribution of the Sample Proportion (continued Checkpoint 3 - Modeling and Inference Sampling Distribution of the Sample Proportion Sample Proportions 1 Notation 1 2 3 4 Sample size = n ˆ Sample proportion = p Population size: N Population proportion = p (usually unknown) µ (ˆ) = p and p − σ (ˆ) = p (1n p ) , where p is the true but unknown p population proportion. Sampling Distribution of the Sample Proportion (continued Checkpoint 3 - Modeling and Inference Sampling Distribution of the Sample Proportion Central Limit Theorem (CLT) Theorem Central Limit Theorem for sample proportion: If numerous samples of size n are taken, the frequency curve ˆ or histogram of the sample proportions p s will be approximately bell shaped. ˆ The mean of...
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## This note was uploaded on 03/12/2014 for the course STATS 10 taught by Professor Ioudina during the Spring '08 term at UCLA.

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