Statistics: Principles and Methods, 7th Edition
By Richard A. Johnson, Gouri K. Bhattacharyya
Statistics: Principles and Methods provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The course includes real-world data, designed to make the material more relevant. Numerous examples are provided to clearly demonstrate the important points of the methods and give business professionals an understanding of applications in which a statistical approach to variation is needed.
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Read, Study, and Practice
Students learn course concepts using the complete online eTextbook, flashcards, crossword puzzles, practice questions, videos, and animations. Organized by learning objective, students can filter for relevant learning resources based on what they need to study most and print any section of the eTextbook.
ORION Adaptive Practice (when available)
Every student has a different starting point, and adaptive practice provides endless opportunities for practice to effectively prepare for class or quizzes and exams. Active retrieval of information with practice questions is proven to improve retention of information better than re-reading or reviewing the material, and students who use adaptive practice to prepare for exams do significantly better than those who do not. Students begin with a quick, chapter-level diagnostic to determine their initial level of understanding, and they can use the dashboard and quick reports to see what topics they know and don’t know.
Assignments
Students who fully engage in WileyPLUS assignments do better in the course by more than a letter grade. Auto-graded assignments give students immediate feedback based on flexible assignment settings determined by the instructor, while the notification center allows students to set their own email notification policies to stay on track.
Instructors can select from extensive and reliable question banks to create and deploy reading, practice, homework, pre-post lectures, and assessment assignments. This course includes essay, label drag-and-drop, multiple choice, text entry, and true-/false question types.
Gradebook
Students know where they stand on WileyPLUS assignments, and they can track progress by learning objective.
Instructors have insights into student performance at the granular question attempt and can track trends by individual student, assignment, or learning objective. Flexible policies allow instructors to change points, set assignment weighing policies, extend individual due dates, or drop the lowest grade.
Chapter 1. Introduction
Chapter 2. Organization and Description of Data
Chapter 3. Descriptive Study of Bivariate Data
Chapter 4. Probability
Chapter 5. Probability Distributions
Chapter 6. The Normal Distribution
Chapter 7. Variation in Repeated Samples-Sampling Distribution
Chapter 8. Drawing Inferences From Large Samples
Chapter 9. Small-Sample Inferences for Normal Populations
Chapter 10. Comparing Two Treatments
Chapter 11. Regression Analysis I
Chapter 12. Regression Analysis II
Chapter 13. Analysis of Categorical Data
Chapter 14. Analysis of Variance (ANOVA)
Chapter 15. Nonparametric Inference