1-5_example4

# 1-5_example4 - Student Grady Simonton Course Math119...

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Unformatted text preview: Student: Grady Simonton Course: Math119: Elementary Statistics - Spring 2.010 - CRN: 49239 Instructor: Shawn Parvini - 16 weeks Date: 2/18/10 Book: Triola: Elementary Statistics, 11e Time: 10:55 ANI To estimate the percentage of defects in a recent manufacturing batch, a quality control manager at Nokia selects every 15th cell phone that comes off the assembly line starting with the third until she obtains a sample of 80 cell phones. There are many different types of sampling: In a random sample members from the population are selected in such a way that each individual member has an equal chance of being selected. With stratiﬁed sampling, subdivide the population into at least two different subgroups (or strata) so that subjects Within the same subgroup share the same characteristics (such as gender or age bracket), then draw a sample from each subgroup (or stratum). In systematic sampling, select a starting point and then select every kth element in the population. In cluster sampling, ﬁrst divide the population area into sections (or clusters), then randomly select some of the clusters, and then choose all the members from those selected clusters. With convenience sampling, simply use results that are very easy to get. Since the sample is obtained by selecting every ﬁfteenth cell phone, the type of sampling used is systematic sampling. Page 1 ...
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