Statistics II / Deborah J. Rumsey

By:

Rumsey, Deborah J [author]

Material type: Text

TextPublication details: Hoboken, New Jersey : John Wiley & Sons, Inc., c2022.Edition: 2nd EditionDescription: xv, 423 pages : illustrations, charts ; 24 cmISBN:

9781119827399

Subject(s):

LOC classification:

QA 276 .R86 2022

Contents:

Part 1: Tackling data analysis and model-building basics. -- Part 2: Using different types of regression to make predictions. -- Part 3: Analyzing variance with ANOVA. -- Part 4: Building strong connections with Chi-square tests and nonparametrics. -- Part 5: Putting it all together : multi-stage analysis of a large data set. -- Part 6: the Part of tens. Ten common errors in statistical conclusions -- Appendix A: Reference tables.

Summary: Completed Statistics through standard deviations, confidence intervals, and hypothesis testing? Then you’re ready for the next step: Statistics II. And there’s no better way to tackle this challenging subject than with Statistics II For Dummies! Get a brief overview of Statistics I in case you need to brush up on earlier topics, and then dive into a full explanation of all Statistic II concepts, including multiple regression, analysis of variance (ANOVA), Chi-square tests, nonparametric procedures, and analyzing large data sets. By the end of the book, you’ll know how to use all the statistics tools together to create a great story about your data.

Item type:

Books

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Holdings
Item type	Current library	Home library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	National University - Manila	LRC - Architecture General Circulation	Environmental Planning	GC QA 276 .R86 2022 (Browse shelf(Opens below))	c.1	Available		NULIB000020615

Includes index.

Completed Statistics through standard deviations, confidence intervals, and hypothesis testing? Then you’re ready for the next step: Statistics II. And there’s no better way to tackle this challenging subject than with Statistics II For Dummies! Get a brief overview of Statistics I in case you need to brush up on earlier topics, and then dive into a full explanation of all Statistic II concepts, including multiple regression, analysis of variance (ANOVA), Chi-square tests, nonparametric procedures, and analyzing large data sets. By the end of the book, you’ll know how to use all the statistics tools together to create a great story about your data.

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