MKT 3413 Chapter Notes - Chapter 12: Confidence Interval, Estimation Theory, Sampling Error
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However, when a probability sample is drawn from a population, values that we want to know about. Every sample contains error meaning that the averages and percentages will not fall on the population values. So it is best to report a range that the client understands defines the true population value or what would be found if a census were feasible. The researcher is then confident that this interval includes the true population average or percentage: we refer to sample finding whenever a percentage or average or some other analysis value is computed with a sample"s data. Generalization is a form of logic in which you make an inference about an entire group based on some evidence about that group. Table 12. 1: 100 randomly selected respondents. Sample finding: 33% of respondents report they are dissatisfied. Estimated population fact: between 24% and 42% of all buyers are dissatisfied: 1,000 randomly selected respondents. Estimated population fact: between 32% and 38% dissatisfied.
