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- W1497448009 abstract "This chapter examines the foundations of samples and sampling. It examines the methods researchers use to collect accurate samples of the population. In addition, the chapter reviews how statistics, based on sample data, allow a user to make inferences about population parameters. Hence, the chapter begins with a more detailed analysis of the characteristics of samples. Probability sampling ensures that the sample will represent the population. According to the law of large numbers, when the members of the population are randomly selected, the sample shares the same features as the population. In some situations, nonprobability sampling procedures are the only ways of creating a sample. The central limit theorem is a statement about the shape of a sampling distribution. Given the predictions of the central limit theorem, the chapter examines how the researcher can change the standard error by increasing sample size or changing s by redefining the population. Controlled Vocabulary Terms central limit theorem; probability sampling" @default.
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- W1497448009 date "2012-08-09" @default.
- W1497448009 modified "2023-10-12" @default.
- W1497448009 title "Sampling: The First Steps in Research" @default.
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- W1497448009 doi "https://doi.org/10.1002/9781118342978.ch7" @default.
- W1497448009 hasPublicationYear "2012" @default.
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