Week 6.2 - Sampling & Experiments

Week 6.2 Sampling& Experiments

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Unformatted text preview: stics of random processes do not allow for exact predictions but they do allow researchers to say with a level of certainty that a parameter falls within a particular range Probability Sampling Uses an area of applied mathematics called probability theory – which relies on random processes Random = a process that generates a mathematically random result (i.e., no pattern). In a true random process each element has an equal probability (or chance) of selection Random sampling is based on a great deal of sophisticated mathematics (this is beyond the scope of this course) Random sampling also allows researchers to calculate Sampling Error Sampling Error Simply put, sampling error refers to the relationship between the sample and the population. Researchers can use statistical methodology to calculate the deviation between sample results and a population parameter due to random processes. Why Random? Random samples are the most likely to produce a sample that actually represents a population Random sampling allows researchers to calculate sampling error Remember, using a sample is less expensive then attempting to study an entire population, and...
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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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