Foundations of Statistics Author:Warren Hawley This extremely well-written, new statistics text, takes advantages of technology and visual techniques in a way that other texts do not. The graphics calculator is a visible part of the text, used frequently throughout in examples which illustrate its power. Although directions are specific to the TI-82, all graphics calculators have the basic f... more »eatures which are demonstrated. MINITAB directions are also included and are specific enough to be of real help to the student. Features: * Integration of the graphics calculators with step-by-step instructions allows students to build confidence learning data entry and manipulation and to then focus on what statistics mean. * Chapter Case Studies require the students to use library research for actual data. The student becomes an active researcher in analyzing a real-life event and recognizing the importance and relevance of statistics in today's society. * A strong spiral approach examines questions in increasing depth as the student progresses. This reinforces already learned concepts and demonstrates the limitations of basic methods and the need for more powerful statistical methods. * An abundance of biographical and personal information about people important to the development of statistics makes the study of statistics more personal and real to the student. * An unusually large percentage of exercises in the text use real data, carefully chosen to appeal to a wide range of students and are presented in such a way that will help develop the student's data interpretation skills. * Thought provoking questions challenge the student to read the text instead of skipping to the exercises. Multi-part exercises facilitate a synthesis of skills and concepts. * Exercises labeled "Group" encourage a team learning approach. * A very flexible treatment of probability which allows for in-depth coverage of the bare minimum, and ranking used instead of the mean as the initial concept, which encourages students from the start to focus on the entire distribution.« less