Sampling_Distribution_(continued)

The answers could be yes or no the estimated sample

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

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...
View Full Document

Ask a homework question - tutors are online