Literaturnachweis - Detailanzeige
|Autoren||Agresti, Alan; Franklin, Christine|
The art and science of learning from data. 2nd ed.
|Quelle||London: Pearson Education (2009), 806 S.|
|Schlagwörter||Hypothese; Korrelation; Varianzanalyse; Lehrbuch; Datenanalyse; Regressionsanalyse; Graf (Math); Wahrscheinlichkeit (Math); Statistik; Verteilung|
|Abstract||"The book helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor. The varied and data-rich examples and exercises place heavy emphasis on thinking about and understanding statistical concepts. The applications are topical and current, and successfully illustrate the relevance of statistics. The authors believe that it is important for students to be comfortable with analyzing both quantitative and categorical data. Every day in the media, students see and hear percentages and rates being used to summarize opinion polls, outcomes of medical studies, and economic reports. As a result, greater attention is paid to the analysis of proportions than is typical of many introductory statistic texts. The text maintains its commitment to the recommendations of the ASA endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report." Forschungsmethode: Dokumentation. (author's abstract, IAB-Doku).|
|Erfasst von||Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg|