Week 6.2 - Sampling &amp; Experiments

# 2 on page 150 notice the bell curve central limit

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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...
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## 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.

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