Statistics : learning from data /
Peck, Roxy,
Statistics : learning from data / Roxy Peck and Catherine Case. - 3rd edition. - xvi, 939 pages : color illustration ; 28 cm.
Includes index.
Section I. Collecting data -- Collecting data in reasonable ways -- Section II. Describing data distributions -- Graphical methods for describing data distributions -- Numerical methods for describing data distributions -- Describing bivariate numerical data-- Section III. A foundation for inference: reasoning about probability -- Probability -- Random variables and probability distributions -- Section IV. Learning from sample data -- An overview of statistical inference - learning from data -- Sampling variability and sampling distributions -- Estimating a population proportion -- Asking and answering questions about a population proportion -- Asking and answering questions about the difference between two proportions -- Asking and answering questions about a population mean -- Asking and answering questions about the difference between two means -- Section V. Additional opportunities to learn from data -- Learning from categorical data -- Understanding relationships - numerical data -- Asking and answering questions about more than two means.
"This edition addresses common obstacles to learning, as the authors translate research on student learning in statistics and probability into practice. The authors use proven methods to address areas where students struggle most - probability, hypothesis testing and selecting an appropriate method of analysis. Students can strengthen their conceptual understanding and procedural fluency as they put knowledge into practice with updated learning objectives, real-data examples, exercises and technology notes."
9780357758298
Mathematical statistics--Textbooks.
Mathematical statistics--Problems, exercises, etc.
QA276.12 / .P434 2024
519.2 / P334s
Statistics : learning from data / Roxy Peck and Catherine Case. - 3rd edition. - xvi, 939 pages : color illustration ; 28 cm.
Includes index.
Section I. Collecting data -- Collecting data in reasonable ways -- Section II. Describing data distributions -- Graphical methods for describing data distributions -- Numerical methods for describing data distributions -- Describing bivariate numerical data-- Section III. A foundation for inference: reasoning about probability -- Probability -- Random variables and probability distributions -- Section IV. Learning from sample data -- An overview of statistical inference - learning from data -- Sampling variability and sampling distributions -- Estimating a population proportion -- Asking and answering questions about a population proportion -- Asking and answering questions about the difference between two proportions -- Asking and answering questions about a population mean -- Asking and answering questions about the difference between two means -- Section V. Additional opportunities to learn from data -- Learning from categorical data -- Understanding relationships - numerical data -- Asking and answering questions about more than two means.
"This edition addresses common obstacles to learning, as the authors translate research on student learning in statistics and probability into practice. The authors use proven methods to address areas where students struggle most - probability, hypothesis testing and selecting an appropriate method of analysis. Students can strengthen their conceptual understanding and procedural fluency as they put knowledge into practice with updated learning objectives, real-data examples, exercises and technology notes."
9780357758298
Mathematical statistics--Textbooks.
Mathematical statistics--Problems, exercises, etc.
QA276.12 / .P434 2024
519.2 / P334s