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.
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.
Gabriel Otieno Okello is a member of the statistics faculty at the School of Science and Technology, United States International University, Nairobi, Kenya.
Inhaltsangabe
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
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
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