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Stats with Cats: The Domesticated Guide to Statistics, Models, Graphs, and Other Breeds of Data Analysis
Hardcover
General MathematicsProbability & Statistics
Publisher Price: $80.25
Publisher: Charles Kufs
Published: Dec 30 2025
Pages: 568
Weight: 2.63
Height: 1.25 Width: 7.00 Depth: 10.00
Language: English
Did you ever wonder if you would use what you were taught in your introduction to statistics class, Stats 101. Stats with Cats explains how you can.
Stats with Cats consists of 31 Chapters in 7 Parts.
Part I reviews the jargon and concepts you heard in Stats 101, your introductory course in statistics. It includes explanations of the basic jargon of statistics, including data, samples, and variables; the variety of measurement scales that can be used to characterize phenomena; variance and why it is such a fundamental concept in statistics; what models are and how statistics uses models to create models; the five fundamental assumptions inherent in statistical inference and what happens when the assumptions are violated; and the five broad goals a statistical analysis may have.
Part II is about the skills, tools, materials, plans, and resources you'll need to conduct your own analyses. Included are descriptions of how organizations can rely on good data analysis to make decisions; how to decide if you should do an analysis yourself or get someone to do it for you; how to set up a data analysis project so that it gets done right the first time; what software and information sources you'll need; and what problems you may encounter.
Part III will show you how to create your own datasets for analysis, including deciding: what variables to measure and how to measure them; how to select samples; types of data that may be suited for statistical analysis; how to recognize and control sources of variability; and how to put samples and variables into a format that statistical software can analyze.
Part IV is about how to preprocess data so it is ready for analysis. Included are descriptions of: kinds of errors that occur in real-world datasets and how to find and correct them; and ways you can augment your dataset to make your analysis more thorough.
Part V connects the practical framework of applied statistics to the academic content of Stats 101. It includes descriptions of procedures and hints for what to calculate, what to plot, and what to look for when you first explore your data; how to present information in simple windows; and how you can analyze text.
Part VI explores advanced data analyses involve using, building, and evaluating models. Included are discussions of: the process of creating a statistical model; advanced statistical analysis techniques you didn't hear about in Stats 101; and why even the most credible models can fail and what you might do about it.
Part VII is about aspects of practical data analysis, applied statistics, that aren't usually mentioned in Stats 101. Examples include: how to write data analysis reports; how to comment on someone else's statistical analysis even if you don't know a lot about statistics; and suggestions for how you can practice the things you've learned.
There's also a 444-word Glossary at the end so that you can look up any unfamiliar jargon you might encounter.
So, whether you're a business person or other professional who has to conduct some statistical analyses, or supervise someone else who is conducting a statistical analysis, or review a statistical analysis done by someone else, this is a book you'll need to read. And if you just want to use some statistics to manage and explore your personal life, this is a book you'll want to read.
And the cats? They provide emotional support for people who experience math anxiety. When the statistics become too intense, there'll be a picture of a cat nearby to restore calm. They are your domesticated guides to statistics, models, graphs, and other breeds of data analysis. Come for the cats; stay for the stats.
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