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Statistics for Business and Economics (10版)

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作者
Newbold
出版社
Pearson
ISBN
9781292436845
版次
10
出版日期
2023/01
重量
1.56 Kg
Statistics for Business and Economics 10/e +作者:Newbold +年份:2023 年10 版 +ISBN:9781292436845 +書號:PS0505PC +規格:平裝/套色 +頁數:800 +出版商:Pearson(Asia) 本書特色 Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple canned applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions. The eighth edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics. Available with MyStatLab. MyStatLab courses use the rock solid Pearson MathXL technology for online tutorial and homework exercises that regenerate algorithmically for unlimited practice and mastery. MyStatLab courses also include essay questions that can be assigned for online tests and quizzes and other resources designed specifically to help students succeed in Statistics. Use this proven technology to help you and your students succeed. Visit mystatlab.com for more information. 目錄 Chapter 1: Describing Data: Graphical Chapter 2: Describing Data: Numerical Chapter 3: Probability Chapter 4: Discrete Random Variables and Probability Distributions Chapter 5: Continuous Random Variables and Probability Distributions Chapter 6: Sampling and Sampling Distributions Chapter 7: Estimation: Single Population Chapter 8: Estimation: Additional Topics Chapter 9: Hypothesis Testing: Single Population Chapter 10: Hypothesis Testing: Additional Topics Chapter 11: Simple Regression Chapter 12: Multiple Regression Chapter 13: Additional Topics in Regression Analysis Chapter 14: Analysis of Categorical Data Chapter 15: Analysis of Variance Chapter 16: Time-Series Analysis and Forecasting Chapter 17: Additional Topics in Sampling

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