Business Statistics, Global Edition （4TH）

個数：

Business Statistics, Global Edition （4TH）

Sharpe, Norean/ De Veaux, Richard/ Velleman, Paul

ウェブストア価格 ¥22,348（本体¥20,317）
Pearson Education Limited（2021/03発売）
外貨定価 UK£ 76.99
ポイント 203pt

在庫がございません。海外の書籍取次会社を通じて出版社等からお取り寄せいたします。
通常6～9週間ほどで発送の見込みですが、商品によってはさらに時間がかかることもございます。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合がございます。
2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Paperback:紙装版/ペーパーバック版／ページ数 904 p.
言語 ENG
商品コード 9781292269313
DDC分類 519.502465

Full Description

Business Statistics narrows the gap between theory and practice by focusing on relevant statistical methods, thus empowering business students to make good, data-driven decisions.

Using the latest GAISE (Guidelines for Assessment and Instruction in Statistics Education) report, which included extensive revisions to reflect both the evolution of technology and new wisdom on statistics education, this edition brings a modern edge to teaching business statistics. This includes a focus on the report's key recommendations: teaching statistical thinking, focusing on conceptual understanding, integrating real data with a context and a purpose, fostering active learning, using technology to explore concepts and analyse data, and using assessments to improve and evaluate student learning. By presenting statistics in the context of real-world businesses and by emphasising analysis and understanding over computation, this book helps students be more analytical, prepares them to make better business decisions, and shows them how to effectively communicate results.

Samples Preview the detailed table of contents Download a sample chapter from Business Statistics, Global Edition, 4th Edition

PART I: EXPLORING AND COLLECTING DATA

1. Data and Decisions (H&M)

2. Visualizing and Describing Categorical Data (Dalia Research)

3. Describing, Displaying, and Visualizing Quantitative Data (AIG)

4. Correlation and Linear Regression (Zillow.com)

PART II: MODELING AND PROBABILITY

5. Randomness and Probability (Credit Reports, the Fair Isaacs Corporation, and Equifax)

6. Random Variables and Probability Models (Metropolitan Life Insurance Company)

7. The Normal and Other Continuous Distributions (The NYSE)

PART III: GATHERING DATA

8. Data Sources: Observational Studies and Surveys (Roper Polls)

9. Data Sources: Experiments (Capital One)

PART IV: INFERENCE FOR DECISION MAKING

10. Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story)

11. Confidence Intervals for Means (Guinness & Co.)

12. Testing Hypotheses (Casting Ingots)

13. More About Tests and Intervals (Traveler's Insurance)

14. Comparing Two Means (Visa Global Organization)

15. Inference for Counts: Chi-Square Tests (SAC Capital)

PART V: MODELS FOR DECISION MAKING

16. Inference for Regression (Nambé Mills)

17. Understanding Residuals (Kellogg's)

18. Multiple Regression (Zillow.com)

19. Building Multiple Regression Models (Bolliger and Mabillard)

20. Time Series Analysis (Whole Foods Market®)

PART VI: ANALYTICS

21. Introduction to Big Data and Data Mining (Paralyzed Veterans of America)

PART VII: ONLINE TOPICS

22. Quality Control (Sony)

23. Nonparametric Methods (i4cp)

24. Decision Making and Risk (Data Description, Inc.)

25. Analysis of Experiments and Observational Studies

Appendix A. Answers

Appendix B. Tables and Selected Formulas

Appendix C. Credits