This book is envisioned as companion to a traditional statistics or biostatistics textbook, with each chapter covering usual topics such as descriptive statistics, regression, and hypothesis testing. However, each chapter will present its material using a complete step-by-step analysis of a real publicly-available dataset.
This book is envisioned as companion to a traditional statistics or biostatistics textbook, with each chapter covering usual topics such as descriptive statistics, regression, and hypothesis testing. However, each chapter will present its material using a complete step-by-step analysis of a real publicly-available dataset.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
After a 10-year career as a research biostatistician in the Department of Ophthalmology and Visual Sciences at the University of Wisconsin-Madison, Chelsea Myers teaches statistics and biostatistics at Rollins College and Valencia College in Central Florida. She has authored or co-authored more than 30 scientific papers and presentations and is the creator of the MCAT preparation website MCATMath.com. She lives in Winter Park, Florida with her family.
Inhaltsangabe
1. Getting Started with R and RStudio 2. Describing Categorical Data 3. Describing Quantitative Data 4. The Normal Distribution 5. Two-Way Tables 6. Linear Regression and Correlation 7. Random Sampling 8. Inference About a Population Mean 9. Inference About a Population Proportion 10. Comparing Two Population Means 11. Comparing Two Population Proportions 12. Student Project 1 13. Student Project 2 14. Student Project 3
1. Getting Started with R and RStudio 2. Describing Categorical Data 3. Describing Quantitative Data 4. The Normal Distribution 5. Two-Way Tables 6. Linear Regression and Correlation 7. Random Sampling 8. Inference About a Population Mean 9. Inference About a Population Proportion 10. Comparing Two Population Means 11. Comparing Two Population Proportions 12. Student Project 1 13. Student Project 2 14. Student Project 3
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