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{ "item_title" : "Practical Statistics with SPSS", "item_author" : [" Torang Siregar "], "item_description" : "This book provides a comprehensive introduction to parametric and non-parametric statistics for students, researchers, lecturers, and practitioners. It covers fundamental concepts of descriptive statistics, hypothesis testing, correlation, regression, ANOVA, normality testing, and population analysis. A major focus of the book is the practical application of statistical methods using SPSS. Readers are guided through commonly used procedures, including Binomial, Chi-Square, Kolmogorov-Smirnov, Runs, McNemar, Sign, Mann-Whitney, Friedman, Kruskal-Wallis, Spearman Rank, and various ANOVA and regression analyses. The book also connects statistical theory with research methodology and real-world case studies, helping readers understand how to select appropriate tests, formulate hypotheses, interpret statistical results, and draw conclusions from research data. Designed as a practical reference for higher education, this book supports both theoretical understanding and hands-on statistical analysis. Its broad coverage makes it suitable for undergraduate and postgraduate courses, research projects, theses, dissertations, and academic research using SPSS.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/99/935/686/9999356869_b.jpg", "price_data" : { "retail_price" : "85.00", "online_price" : "85.00", "our_price" : "85.00", "club_price" : "85.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Practical Statistics with SPSS|Torang Siregar

Practical Statistics with SPSS : Parametric and Non-Parametric Methods, Hypothesis Testing, and Regression

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Overview

This book provides a comprehensive introduction to parametric and non-parametric statistics for students, researchers, lecturers, and practitioners. It covers fundamental concepts of descriptive statistics, hypothesis testing, correlation, regression, ANOVA, normality testing, and population analysis. A major focus of the book is the practical application of statistical methods using SPSS. Readers are guided through commonly used procedures, including Binomial, Chi-Square, Kolmogorov-Smirnov, Runs, McNemar, Sign, Mann-Whitney, Friedman, Kruskal-Wallis, Spearman Rank, and various ANOVA and regression analyses. The book also connects statistical theory with research methodology and real-world case studies, helping readers understand how to select appropriate tests, formulate hypotheses, interpret statistical results, and draw conclusions from research data. Designed as a practical reference for higher education, this book supports both theoretical understanding and hands-on statistical analysis. Its broad coverage makes it suitable for undergraduate and postgraduate courses, research projects, theses, dissertations, and academic research using SPSS.

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Details

  • ISBN-13: 9789999356862
  • ISBN-10: 9999356869
  • Publisher: Eliva Press
  • Publish Date: October 2026
  • Dimensions: 9 x 6 x 0.75 inches
  • Shipping Weight: 1.07 pounds
  • Page Count: 364

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