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Statistics are used throughout businesses to present and analyse data and decide on best practice. Simplified Business Statistics Using SPSS provides a practical approach to these concepts and their applications in business, economics and other areas of data analytics. This book guides the reader though these concepts without assuming prior knowledge and is an ideal reference for business analytics students and researchers in related fields.
Features
- Includes simplified statistical contents and a step-by-step guide on how to apply statistical concepts by perform analysis using Statistical Package for Social Sciences together with an interpretation of the statistical analysis output
- Provides a wide range of data sets to be used for examples and illustrations
- Designed to be accessible to readers with varied backgrounds
List of contents
Part I: Introduction to Statistical Analysis, 1. Introduction to Statistics, Data and Analysis, 2. Collecting and Preparing Data for Analysis, 3. Getting Started with SPSS, 4. Descriptive Statistics Methods, Part II: Probability Concepts, 5. Introduction to Probability, 6. Random Variables and Probability Distributions, 7. Sampling and Sampling Distribution, Part III: Introduction to Statistical Inference Concepts and Methods, 8. Statistical Inference: Estimation, 9. Statistical Inference: Hypothesis Testing, 10. Testing Hypothesis about One Population, 11. Testing Hypothesis about Two Populations, 12. Testing Hypothesis about More Than Two Populations, 13. Testing Relationships about Categorical Data, 14. Testing Relationships about Numerical Data, Part IV: Special Topics in Statistical Analysis, 15. Nonparametric Tests, 16. Analysis of Time Series Data, 17. Statistical Quality Control
About the author
Gabriel Otieno Okello is a member of the statistics faculty at the School of Science and Technology, United States International University, Nairobi, Kenya.
Summary
Statistics are used throughout businesses to present and analyse data and decide on best practice. This Book provides a practical approach to these concepts and their applications in business, economics, and other areas of data analytics.
