Abstract
The first four chapters of this book illustrated how one can summarize a data set both numerically and graphically. The validity of interpretations made from such a descriptive analysis are valid only for the data set under consideration and cannot necessarily be generalized to other data. However, it is desirable to make conclusions about the entire population of interest and not only about the sample data. In this chapter, we describe the framework of statistical inference which allows us to infer from the sample data about the population of interest—at a given, pre-specified uncertainty level—and knowledge about the random process generating the data.
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Heumann, C., Schomaker, M., Shalabh (2022). Inference. In: Introduction to Statistics and Data Analysis. Springer, Cham. https://doi.org/10.1007/978-3-031-11833-3_9
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DOI: https://doi.org/10.1007/978-3-031-11833-3_9
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Publisher Name: Springer, Cham
Print ISBN: 978-3-031-11832-6
Online ISBN: 978-3-031-11833-3
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