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Foundations of applied statistical methods

Author: Hang Lee
Publisher: Cham : Springer, 2014.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This is a text in 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 them to applicable scenarios without over-emphasis on the technical aspects. Demonstrations are a very  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Hang Lee
ISBN: 9783319024028 3319024027 3319024019 9783319024011
OCLC Number: 865581571
Description: 1 online resource (x, 161 pages) : illustrations (some color)
Contents: 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).
Responsibility: Hang Lee.

Abstract:

Driven by real-world examples, this book covers applied statistical methods in a concise and easily accessible way. Coverage includes essential probability models, inference of means, proportions,  Read more...

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"The book contains a good amount of demonstrations and avoids mathematical expressions except where necessary. Therefore, students who intend to apply statistics in their field of interest ... will Read more...

 
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