รูปภาพสินค้า รหัส9780538735919
9780538735919
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ผู้เขียนJessica M. Utts, Robert F. Heckard

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รหัสสินค้า: 9780538735919
จำนวน: 752 หน้า
ขนาดรูปเล่ม: 215 x 276 x 22 มม.
น้ำหนัก: 1465 กรัม
เนื้อในพิมพ์: สี่สีในเล่ม 
ชนิดปก: ปกอ่อน 
ชนิดกระดาษ: กระดาษอาร์ต 
หน่วย: เล่ม 
สำนักพิมพ์: Brooks/Cole, Cengage Learning 
พิมพ์ครั้งล่าสุด:ครั้งที่ 4 เดือน -- ปี 2012
:: เนื้อหาโดยสังเขป
"Statistics, 4th edition, International Edition" emphasizes the conceptual development of statistical ideas and the importance of looking for, and finding, meaning in data. Authors Jessica Utts and Robert Heckard actively engage students' natural curiosity, motivating them with intriguing questions and explaining statistical topics in the context of a wide range of interesting, useful examples and case studies.

Throughout, the authors balance the promotion of statistical literacy with coverage of the statistical methodology taught in general introductory statistics courses. Their approach is based on the premises that new material is much easier to learn and remember if it is related to something interesting or previously known, and if students actively ask questions and find the answers for themselves.

More than any other text available, "Statistics, 4th edition, International Edition" motivates and encourages students to develop their statistical intuition by focusing on analyzing data and interpreting results, rather than on mathematical formulation. CourseSmart goes beyond traditional expectations-providing instant, online access to the textbooks and course materials you need and at a lower cost to your students. To request an electronic sample of this Cengage Learning title, go to our associated website.
:: สารบัญ
1. Statistics Success Stories and Cautionary Tales
2. Turning Data into Information
3. Relationships Between Quantitative Variables
4. Relationships Between Categorical Variables
5. Sampling: Surveys amd How to Ask Questions
6. Gathering Useful Data for Examining Relationships
7. Probability
8. Random Variables
9. Understanding Sampling Distributions: Statistics as Random Variables
10. Estimating Proportions with Confidence
, etc.