Understanding Statistical Concepts Using S-plus

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A01=Allen Akers
A01=Randall E. Schumacker
Alternative Hypothesis Statement
Author_Allen Akers
Author_Randall E. Schumacker
behavioral statistics
Category=PBT
Category=UFM
Confidence Interval
Data Set
Data Sets
Dialog Box
distribution
Effect Size Measures
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
hypothesis
increases
inferential analysis
Initial Data Set
Modified Data Set
MONTE CARLO
Null Hypothesis
Odd
Original Sample Size
parameters
population
Population Parameters
Population Proportions
Population Standard Deviation
Probability Area
probability theory
Rel
Relative Frequencies
resampling methods
S-PLUS simulation exercises for students
sample
Sample Size Increases
Sample Standard Deviation
Sample Statistic
sampling
Sampling Distribution
sampling techniques
Scatter Plot
size
sizes
statistical computing
Std Dev
Yes

Product details

  • ISBN 9780805836233
  • Weight: 680g
  • Dimensions: 210 x 280mm
  • Publication Date: 01 Mar 2001
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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Written as a supplemental text for an introductory or intermediate statistics course, this book is organized along the lines of many popular statistics texts. The chapters provide a good conceptual understanding of basic statistics and include exercises that use S-PLUS simulation programs. Each chapter lists a set of objectives and a summary.

The book offers a rich insight into how probability has shaped statistical procedures in the behavioral sciences, as well as a brief history behind the creation of various statistics. Computational skills are kept to a minimum by including S-PLUS programs that run the exercises in the chapters. Students are not required to master the writing of S-PLUS programs, but explanations of how the programs work and program output are included in each chapter. S-PLUS is an advanced statistical package that has an extensive library of functions, which offer flexibility in writing customized routines.

The S-PLUS functions provide the capability of programming object and dialog windows, which are commonly used in Windows software applications. The S-PLUS program also contains pull-down menus for the statistical analysis of data.

A ZIP file containing programs that work in S-PLUS 6.2 for use with this book is available for download from http://www.psypress.com/resources/9780805836233.zip - please note that these scripts will only run in S-PLUS 6.2 and not later versions due to changes in the programming language syntax.

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