Probability sampling and nonprobability sampling

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As part of its bankruptcy restructuring, General Motors (GM) launched a new ad campaign on June 3, 2009, that was meant to feature a streamlined GM: fewer brands-including the Cadillac, Buick, Chevrolet, and GMC brands-and fewer models within each brand. What research would you have done to determine which vehicles models GM should retain and which it should drop? What would you have measured and with what type of measurement scale?

As we saw last week, getting data to measure is critical. But how do we get the data in the first place? Usually, we have to take a sample -- but it has to be the right sample, or, our data collection will not be accurate or valid. Give an example of a population and a sample from that population. What is the difference between probability (random) sampling and nonprobability (non-random) sampling? When should you use one vs. the other?

Reference no: EM13811279

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