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Field name	Details
Dewey Class	570.15195
Title	Foundations of Applied Statistical Methods (EBook /) / by Hang Lee.
Author	Lee, Hang
Other name(s)	SpringerLink (Online service)
Edition statement	2nd ed. 2023.
Publication	Cham : : Springer International Publishing : : Imprint: Springer, , 2023.
Physical Details	X, 187 p. 115 illus. : online resource.
ISBN	9783031422966
Summary Note	This book covers methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply it to applicable scenarios without over-emphasis on the technical aspects. Demonstrations are a very important part of this text. Mathematical expressions are exhibited only if they are defined or intuitively comprehensible. This text may be used as a guidebook for applied researchers or as an introductory statistical methods textbook for students, not majoring in statistics. Discussion includes essential probability models, inference of means, proportions, correlations and regressions, methods for censored survival time data analysis, and sample size determination.:
Contents note	Warming Up-Descriptive Statistics and Essential Probability Models -- Statistical Inference Focusing on a Single Mean or Proportion -- Inference Using t-tests for Comparing Two Means -- Inference Using Analysis of Variance for Comparing Multiple Means -- Inference Using Correlation and Regression -- Normal Distribution Assumption Free Non-Parametric Inference -- Methods for Censored Survival Time Data Analysis and Inference -- Sample Size Determination for Inference -- Review Exercise Problems -- Probability of Standard Normal Distribution -- Percentiles of t-Distributions -- Upper 95th and 99th Percentiles of Chi-square Distributions -- Upper 95th Percentiles of F-Distributions -- Upper 99th Percentiles of F-Distributions -- Sample Sizes for Independent Samples t-tests (normal approximation) -- Index. .
Mode of acces to digital resource	Digital reproduction.-
	Cham :
	Springer International Publishing,
	2023. -
	Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	https://doi.org/10.1007/978-3-031-42296-6
Links to Related Works	Subject References: Biometry . Biostatistics . Statistical Theory and Methods . Statistics . Authors: author . Lee, Hang . Corporate Authors: SpringerLink (Online service) . Classification: 570.15195 .

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Foundations of Applied Statistical Methods

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