Applied statistics for public policy (eBook, 2017) [WorldCat.org]
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Applied statistics for public policy

Author: Brian P Macfie; Philip M Nufrio
Publisher: [Place of publication not identified] : Routledge, 2017.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"This practical text provides students with the statistical tools needed to analyze data, and shows how statistics can be used as a tool in making informed, intelligent policy decisions. The authors' approach helps students learn what statistical measures mean and focus on interpreting results, as opposed to memorizing and applying dozens of statistical formulae. The book includes more than 500 end-of-chapter  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Macfie, Brian P.
Applied Statistics for Public Policy.
[Place of publication not identified] : Taylor and Francis Ltd : Routledge, 2017
(DLC) 2004023626
(OCoLC)56777573
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Brian P Macfie; Philip M Nufrio
ISBN: 9781317363521 1317363523
OCLC Number: 997421932
Description: 1 online resource (538 pages)
Contents: Unit I. Descriptive statistics --
Introduction : what is statistics all about? --
Using polystat to do statistical analysis --
Presentation of data --
Summarizing data and using descriptive statistics --
Unit II. Basic probability and probability distributions --
Basic probability : theory and applications --
Sampling and the normal distribution --
The central limit theorem --
Unit III. Hypothesis testing --
Introduction to inferential statistics --
Estimating means, proportions, and sample size with confidence --
Validating a hypothesis about a single population mean using a sample --
Validating hypotheses between two population means --
Validating hypotheses about a single population proportion --
Validating hypotheses about two population proportions --
Unit IV. Measures of association --
Comparing more than two population means with anova --
Comparing more than two population proportions using the chi-square test --
Determining relationships for two variables using correlation --
Measuring relationships with simple regression analysis --
Measuring multivariate relationships with regression analysis --
Planning statistical research.
Responsibility: Brian P. Macfie and Philip M. Nufrio.

Abstract:

This practical text provides students with the statistical tools needed to analyze data, and shows how statistics can be used as a tool in making informed, intelligent policy decisions.. A disk with  Read more...

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