Applied Statistical Analysis In SPSS Assignment Help

Applied Statistics Using SPSS is an all-in-one self-study guide to SPSS and do-it-yourself guide to statistics that is easily written and easy to use. What makes Eelko Huizingh’s approach unique is that it is centred on the needs of undergraduate students embarking on their own research project, and its self-help style is intended to boost the skills and confidence of those who will need to use SPSS in the course of their research project.
This course is pedagogically sound, with numerous screen dumps and exercises, glossary terms, and worked examples. Applied Statistics Using SPSS is divided into three sections that cover:
  • A self-study manual for learning SPSS.
  • A reference guide for determining the best statistical technique.
  • A step-by-step guide for analysing data and interpreting the results.

KEY FEATURE

This course is designed for students, professionals, and researchers who need to apply statistical analysis to a wide range of practical problems.

The most important statistical analysis topics for practical applications, including data description, statistical inference, factor analysis, survival data, and directional statistics.

The relevant concepts and methods are explained concisely, illustrated with practical examples based on real-world data, and presented with the clear intention of clarifying sensible practical issues.

The solutions presented in the examples are obtained in a pedagogical manner using one of the software packages, and it provides guidance on how to use SPSS.

Applied Statistical Analysis In SPSS Assignment Help

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Key Topics
    This SPSS book is written specifically for undergraduate students and should provide a step-by-step guide to research design and data analysis using SPSS. Following are the topics covered under this course:
    • Data Regression
    • Data Structure Analysis
    • Estimating Data Parameters
    • Non-Parametric Tests of Hypotheses
    • Parametric Tests of Hypotheses
    • Presenting and Summarising the Data
    • Statistical Classification

    Applied Statistics Using SPSS, STATISTICA, MATLAB and R

    This course is designed for students, professionals, and researchers who need to apply statistical analysis to a wide range of practical problems. The book covers the most important statistical analysis topics for practical applications, including data description, statistical inference, classification and regression, factor analysis, survival data, and directional statistics. The relevant concepts and methods are explained concisely, illustrated with practical examples based on real-world data, and presented with the clear intention of clarifying sensible practical issues. The solutions presented in the examples are obtained in a pedagogical manner using one of the software packages, and it provides guidance on how to use MATLAB in statistical analysis applications.

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