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# 1-5_example5 - 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 determine her outdoor temperature, Crystal divides up her day into three parts: morning, afternoon, and evening. She then measures her outdoor temperature at 3 randomly selected times during each part of the day. 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. In systematic sampling, select some starting point and then select every kth element in the population. With convenience sampling, simply use results that are very easy to get. With stratiﬁed sampling, subdivide the population into at least two different subgroups (or strata) so that subjects within the same subgroup share the same characterisitcs, then draw a sample from each subgroup (or stratum). 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. Here the population is separated into 3 nonoverlapping groups (morning. afternoon, and evening) and then a random sample of size 3 is taken from each group. Thus, the sample is a stratiﬁed sample. Page 1 ...
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