The art of statistics: how to learn from data /
Spiegelhalter, David
The art of statistics: how to learn from data / Spiegelhalter, David. - First US Trade Paperback - New York : Hachette Book Group, Inc., 2021. - xvi, 426 pages: 21 cm
Includes notes, glossary and index.
Introduction Getting things in proportion : categorical data and percentages Summarizing and communicating numbers : Lots of numbers Why are we looking at data anyway? : Populations and measurement What causes what? Modelling relationships using regression Algorithms, analytics and prediction How sure can we be about what is going on? : Estimates and intervals Probability : the language of uncertainty and variability Putting probability and statistics together Answering questions and claiming discoveries Learning from experience the Bayesian way How things go wrong How we can do statistics better In conclusion
Shows how to apply statistical reasoning to real-world problems. This isn`t simply memorizing formulas or using the tools in a spreadsheet; Spiegelhalter emphasizes the importance of clarifying questions, assumptions, and expectations, and-- more importantly-- knowing how to responsibly interpret the results the software generates
English
9781541675704
Mathematical statistics
519.5 S75a 2021
The art of statistics: how to learn from data / Spiegelhalter, David. - First US Trade Paperback - New York : Hachette Book Group, Inc., 2021. - xvi, 426 pages: 21 cm
Includes notes, glossary and index.
Introduction Getting things in proportion : categorical data and percentages Summarizing and communicating numbers : Lots of numbers Why are we looking at data anyway? : Populations and measurement What causes what? Modelling relationships using regression Algorithms, analytics and prediction How sure can we be about what is going on? : Estimates and intervals Probability : the language of uncertainty and variability Putting probability and statistics together Answering questions and claiming discoveries Learning from experience the Bayesian way How things go wrong How we can do statistics better In conclusion
Shows how to apply statistical reasoning to real-world problems. This isn`t simply memorizing formulas or using the tools in a spreadsheet; Spiegelhalter emphasizes the importance of clarifying questions, assumptions, and expectations, and-- more importantly-- knowing how to responsibly interpret the results the software generates
English
9781541675704
Mathematical statistics
519.5 S75a 2021