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STAT 260.00 Introduction to Sampling Techniques 6 credits

Open: Size: 28, Registered: 21, Waitlist: 0

CMC 301


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Synonym: 61465

Katie R St. Clair

(Formerly MATH 255) Covers sampling design issues beyond the basic simple random sample: stratification, clustering, domains, and complex designs like two-phase and multistage designs. Inference and estimation techniques for most of these designs will be covered and the idea of sampling weights for a survey will be introduced. We may also cover topics like graphing complex survey data and exploring relationships in complex survey data using regression and chi-square tests.

Prerequisite: Statistics 120 (formerly Mathematics 215), Statistics 230 (formerly Mathematics 245), or Statistics 250 (formerly Mathematics 275)

Formerly Mathematics 255

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You must take 6 credits of each of these.
You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
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