The art of statistics: how to learn from data / Spiegelhalter, David.

By: Material type: TextTextPublication details: New York : Hachette Book Group, Inc., 2021.Edition: First US Trade PaperbackDescription: xvi, 426 pages; 21 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781541675704
Subject(s): LOC classification:
  • 519.5 S75a 2021
Contents:
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
Summary: 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
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Barcode
Books Books FEU - Cavite Basic Education BED Library CIR 519.5 S75a 2021 (Browse shelf(Opens below)) Available SH0772

Includes notes, glossary and index.

English

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

0

There are no comments on this title.

to post a comment.