Simple random sampling is an example of probability sampling where the chance of inclusion is equal for all elements in the target population. The achievement of a random sample requires not only a random sampling process, but also a 100% response rate. Since in practice, the latter is usually not achievable there is always some bias, however big or small it may be, in “random sampling”.
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In an analytics-driven business environment, this analytics-centred consumer marketing workshop is tailored to the needs of consumer analysts, marketing researchers, brand managers, category managers and seasoned marketing and retailing professionals.
Is marketing education fluffy too?
Marketing simulators impart much needed combat experiences, equipping practitioners with the skills to succeed in the consumer market battleground. They combine theory with practice, linking the classroom with the consumer marketplace.