Introductory Statistics

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A01=Barbara M. Miller
A01=John M. Ferron
A01=William B. Ware
African American Students
ANOVA
Author_Barbara M. Miller
Author_John M. Ferron
Author_William B. Ware
Barbara M. Miller
Binomial Random Variable
Bivariate Distributions
Category=JHBC
Category=PBT
conceptual statistics for social sciences
Cumulative Frequency Distributions
Data Set
Data Sets
Dependent Samples
educational measurement
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Familywise Error Rate
Father's Educational Level
Father’s Educational Level
Fligner Killeen Test
General Knowledge Scores
GPA
Grade Point Average
graduate level statistics
Grouped Frequency Distributions
Introductory Statistics
John M. Ferron
Mathematical Probability Distributions
Min 1Q Median 3Q Max
Mother's Educational Level
Mother’s Educational Level
Null Hypothesis
Omnibus Null Hypothesis
Open source
Permutation Test
probability theory applications
Quantitative
Quantitative Variables
R programming
R Statistical
regression and correlation techniques
Resampling Approaches
Sampling Distributions
SAT Total Score
social science data analysis
statistical inference methods
Unit Normal Distribution
William B. Ware

Product details

  • ISBN 9780805836516
  • Weight: 1120g
  • Dimensions: 178 x 254mm
  • Publication Date: 17 Dec 2012
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. Importantly, this is one of the first statistics texts in the social sciences using R as the principal statistical package. Key features include the following.

  • Conceptual Focus – The focus throughout is more on conceptual understanding and attainment of statistical literacy and thinking than on learning a set of tools and procedures.
  • Problems and Cases – Chapters and sections open with examples of situations related to the forthcoming issues, and major sections ends with a case study. For example, after the section on describing relationships between variables, there is a worked case that demonstrates the analyses, presents computer output, and leads the student through an interpretation of that output.
  • Continuity of Examples – A master data set containing nearly all of the data used in the book’s examples is introduced at the beginning of the text. This ensures continuity in the examples used across the text.
  • Companion Website – A companion website contains instructions on how to use R, SAS, and SPSS to solve the end-of-chapter exercises and offers additional exercises.
  • Field Tested – The manuscript has been field tested for three years at two leading institutions.

William B. Ware is Professor at the University of North Carolina at Chapel Hill, USA.

John M. Ferron is Professor at the University of South Florida, USA.

Barbara M. Miller is Associate Professor at Elon University, USA.

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