Titlebook: Statistics for Data Scientists; An Introduction to P Maurits Kaptein,Edwin van den Heuvel Textbook 2022 Springer Nature Switzerland AG 2022

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A First Look at Data,amining, describing, and visualizing data. We will use a dataset called . throughout this chapter; this dataset, as well as all the other datasets we use throughout this book, is described in more detail in the preface. The dataset can be downloaded at .. In this first chapter we will discuss techni

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Sampling Plans and Estimates, rated the faces higher than women on average. If we are only interested in the participants in the study and we are willing to believe that the results are fully deterministic, we could claim that the group of men rates higher than the group of women on average. However, if we believe that the rati

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Estimation,uncertainty that the information is coming from sampling and does not perfectly represent the population, since another sample would give different outcomes. An important aspect of inferential statistics is estimation of the population parameters of interest. We have discussed the step from descript

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Making Decisions in Uncertainty,le statistics) vary as a function of the sampling plan and the population characteristics. In Chap. . we also covered the idea that we can use our sample to estimate population parameters; in this case we are basically making a decision—our best guess—regarding the population parameter given the sam

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Bayesian Statistics,t of the text we have, however, considered what some would call . statistics (the name deriving from the notion of probability as a long-run frequency): in this school of thought regarding probability it is generally assumed that population values are fixed quantities (e.g., . is, despite being unkn

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