Week 6.2 - Sampling & Experiments

2 on page 150 notice the bell curve central limit

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: (for example: the percentage of U B students that own mobile phones). True characteristic of a population Determined when all elements in a population are measured Parameters are never really known for large populations, so researchers estimate them on the basis of samples Statistic: information from a sample Probability Sampling: Key Terms Sampling Distribution: A distribution created by drawing many random samples from the same population (see box 6.2 on page 150 – notice the bell curve?) Central Limit Theorem: as the number of different random samples in a sampling distribution increases toward infinity, the pattern of samples and the population parameter become more predictable With a very large number of random samples, the sample distribution forms a normal curve and the midpoint of the curve approaches the population parameter as the number of samples increases. Probability Sampling: Key Terms Confidence Intervals: a range around a specific point used to estimate a population parameter. a range is used because the stati...
View Full Document

This note was uploaded on 02/03/2014 for the course SOC 293 taught by Professor N/a during the Spring '10 term at SUNY Buffalo.

Ask a homework question - tutors are online