Name: Performing Data Analysis Using Ibm Spss
Price: 130.39 EUR
Availability: InStock
Author: Lawrence S. Meyers, Glenn C. Gamst, A. J. Guarino
ISBN: 9781118357019

portada Performing Data Analysis Using Ibm Spss

Formato

Libro Físico

Editorial

Wiley

Autor

Lawrence S. Meyers, Glenn C. Gamst, A. J. Guarino

Tema

Data Analysis

Colección

Us Gr

N° páginas

736

Dimensiones

21.59 x 27.94 cm.

Peso

1660

ISBN

1118357019

ISBN13

9781118357019

Categorías

Data mining: minería de datos

Performing Data Analysis Using Ibm Spss

Lawrence S. Meyers, Glenn C. Gamst, A. J. Guarino (Autor) · Wiley · Libro Físico

Libro Físico

130,39 €

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Ahorras: 6,86 €

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Reseña del libro "Performing Data Analysis Using Ibm Spss"

This Book Is Designed To Be A Users Guide For Students And Other Interested Readers To Perform Statistical Data Analysis With Ibm Spss, Which Is A Major Statistical Software Package Used Extensively In Academic, Government, And Business Settings. Ibm Spss Has A User - Friendly Point - And - Click Interface And A Robust Selection Of Statistical And Data Analytic Procedures. This Book Addresses The Needs, Level Of Sophistication, And Interest In Introductory Statistical Methodology On The Part Of Undergraduate Students As Well As More Advanced Students In Social And Behavioral Science, Business, Health - Related, And Education Programs. Each Chapter Covers A Particular Statistical Procedure And Has The Following Format: An Example Problem Or Analysis Goal Together With A Data Set; Ibm Spss Analysis With Step - By - Step Analysis Setup And Accompanying Screen Shots; And Ibm Spss Output With Screen Shots And Narrative On How To Read Or Interpret The Results Of The Analysis. Chapter Includes: Introduction To Ibm Spss; Performing Analyses And Viewing Data; Manipulating Data; Descriptive Statistics Procedures; Simple Data Transformations; Score Distribution Assumptions; Correlation And Prediction; Comparinf Means Of T Test And Analysis Of Variance (Anova); Nonparametric Procedures; Advanced Anova Techniques; Analysis Of Structure; Grouping Cases; And Time Dependent Analyses