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Technische Daten
Erscheinungsdatum
18.12.2019
Sprache
Englisch
EAN
9781319324834
Herausgeber
Macmillan Learning
Sonderedition
Nein
Autor
William I. Notz
Auflage
10th edition 2020
Einbandart
Taschenbuch
Autorenporträt
David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation. He is the author of influential articles on statistics education and of several leading texts. William I. Notz is Professor of Statistics at the Ohio State University. His first academic job was as an assistant professor in the Department of Statistics at Purdue University. While there, he taught the introductory concepts course with Professor Moore and as a result of this experience he developed an interest in statistical education.
Schlagwörter
Statistics, Statistical reasoning, Statistical concepts, Statistical Data, David Moore
Thema-Inhalt
PBT - Wahrscheinlichkeitsrechnung und Statistik
Inhaltsverzeichnis
1 Where Do Data Come From?
2 Samples, Good and Bad
3 What Do Samples Tell Us?
4 Sample Surveys in the Real World
5 Experiments, Good and Bad
6 Experiments in the Real World
7 Data Ethics
8 Measuring
9 Do the Numbers Make Sense?
10 Graphs, Good and Bad
11 Displaying Distributions with Graphs
12 Describing Distributions with Numbers
13 Normal Distributions
14 Describing Relationships: Scatterplots and Correlation
15 Describing Relationships: Regression, Prediction, and Causation
16 The Consumer Price Index and Government Statistics
17 Thinking about Chance
18 Probability Models
19 Simulation
20 The House Edge: Expected Values
21 What Is a Confidence Interval?
22 What Is a Test of Significance?23 Use and Abuse of Statistical Inference
24 Two-Way Tables and the Chi-Square Test
Index
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