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provide a pedagogical framework that will make students feel comfortable and confident in statistics and help them gain self-confidence in using statistical tools. this framework includes clear explanations of concepts and methods, comprehensive exercises, and a logical order of teaching that follows a problem-solving approach and then covers topics with increasing depth and complexity.
for the introductory course, focus on applying and teaching statistics in a real-world setting. the book uses problems from different areas of applied statistics, such as descriptive statistics, inferential statistics, time-series analysis, predictive modeling, and data mining, to show how the theory of statistics can be applied. in addition to real-world examples, the book also includes examples with margin notes to help students to learn key concepts and methodologies.
make use of technology to show how statistics can be applied to real-world problems. many applications of statistics in the real world use computers. for instance, as a student progresses through the book, the programming language assignments help to introduce concepts related to computing.
introductory statistics is designed to emphasize the logical approach to learning statistics. unlike many other introductory textbooks, the book does not focus on mathematical formulas or theorems, but rather on concepts and methods. the book is organized in chapters, each of which is a logical step towards the solution of a real-world problem. as a result, the book is logical, from the beginning to the end, and helps students to develop the required skills to solve real-world problems. 2516d825b2