Business Statistics 11/e IA (11版)
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【簡介】
●Decision Dilemmas: Each course section is introduced with a real-world business vignette that presents a dilemma and related managerial or statistical questions. Solutions to these questions require the use of techniques presented in the section. A Decision Dilemma Solved feature concludes each section, giving students the opportunity to answer and discuss each question presented at the beginning of the section.
●Thinking Critically About Statistics in Business Today Exercises: Each course section features one or several of these exercises that give real-life examples of how the statistics presented in the section apply in the business world today.
●Databases: Twenty databases representing several industries including banking, consumer spending, energy, environmental, finance, manufacturing, healthcare, market research, retailing, stocks, and more provide additional opportunities for students to apply the statistics presented in each chapter.
●Big Data Cases engage students with variables, samples, and data. With data from the American Hospital Association, these cases enable students to solve and perform a number of data tasks that are practical for the course and future careers.
●Ethical Considerations: This feature in each course section integrates the topic of ethics with applications of business statistics.
●Demonstration Problems: Virtually every section of every chapter contains demonstration problems. A demonstration problem contains both an example problem and its solution and is used as an additional pedagogical tool to supplement explanations and examples.
●900+ Practice Problems: A treasury of practice problems are available in this course.
【目錄】
1 Introduction to Statistics and Business Analytics
2 Visualizing Data with Charts and Graphs
3 Descriptive Statistics
4 Probability
5 Discrete Random Variables and Their Probability Distributions
6 Continuous Random Variables and Normal Distributions
7 Sampling and Sampling Distributions
8 Statistical Inference: Estimation for Single Populations
9 Statistical Inference: Hypothesis Testing for Single Populations
10 Statistical Inference About Two Populations
11 Analysis of Variance and Design of Experiments
12 Simple Regression Analysis and Correlation
13 Multiple Regression Analysis
14 Building Multiple Regression Models
15 Time-Series Forecasting and Index Numbers
16 Analysis of Categorical Data
17 Nonparametric Statistics
18 Statistical Quality Control
19 Decision Analysis
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統計學 (GROEBNER & SHANNON & FRY: BUSINESS STATISTICS: A DECISION-MAKING APPROACH 10/E)
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書名：統計學
作者：(Groebner 10/e)林傑毓
出版社：普林斯頓
出版日期：2018/08/01
ISBN：9789869685023
內容簡介
很多人聽到統計學的初步想法，大多是由一堆數字所組成的學科，或用來做民調的工具。
事實上，統計可以用更簡單易懂的方式進入我們的日常生活之中，更進一步，如果能適當運用統計知識與工具，還能夠提高在職場上的競爭力，因為幾乎企業中的各環節都離不開統計的應用，例如：行銷成效的評估、人力資源的配置、財務目標規劃等。本書的規劃即在協助讀者利用統計來進行商業上的各項決策，特色就是利用豐富的例題及應用案例來呈現，茲說明如下：
1.利用深入淺出的基礎統計理論搭配 EXCEL 表的範例，讀者能實際體驗未來在職場上的可能決策。
2.步驟化的例題，能使讀者從中更為理解理論的系統化操作。
3.大量的商業應用案例，則能使知識更容易被判斷最適合的使用時機。
4.豐富的課後練習能加深對理論的熟悉程度。
從蒐集資料開始到獲得最後統計結果，本書都有詳細的說明，期許讀者們能對統計有更深一層的了解，並能加以應用到未來的職場上。
目錄
第1章 緒論
第2章 圖表與圖形 — 敘述數據
第3章 敘述統計量
第4章 機率導論
第5章 離散機率分配
第6章 連續機率分配
第7章 抽樣分配
第8章 估計單一母體的參數
第9章 假設檢定導論
第10章 兩母體之估計與檢定
第11章 母體變異數之估計與檢定
第12章 變異數分析
第13章 卡方檢定
第14章 相關與迴歸分析
附 錄
精選習題簡答
中英文索引
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Business Statistics A Decision-Making Approach (10版)
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書名：Business Statistics: A Decision-Making Approach 10/E
作者：GROEBNER
出版社：PEARSON
出版日期：2018/00/00
ISBN：9781292220383
原價:
1420
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Essentials of Statistics for Business and Economics (10版)
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【簡介】
Learn how statistical information impacts decisions in today’s business world as Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 10E connects key concepts in each chapter to actual business practices. This edition combines clear statistical methods with a proven approach that presents a problem, then scenario. Updated applications reflect the latest developments in business and statistics. You work with more than 350 new and updated business examples, approximately 50 new and updated cases and hands-on exercises that highlight statistics in action. You also gain practice using leading professional statistical software with exercises and appendices that walk you through using Excel®, R and JMP® Student Edition.
【目錄】
1. Data and Statistics.
2. Descriptive Statistics: Tabular and Graphical Displays.
3. Descriptive Statistics: Numerical Measures.
4. Introduction to Probability.
5. Discrete Probability Distributions.
6. Continuous Probability Distributions.
7. Sampling and Sampling Distributions.
8. Interval Estimation.
9. Hypothesis Tests.
10. Inference about Means and Proportions with Two Populations.
11. Inferences about Population Variances.
12. Comparing Multiple Proportions, Test of Independence and Goodness of Fit.
13. Experimental Design and Analysis of Variance.
14. Simple Linear Regression.
15. Multiple Regression.
Appendix A: References and Bibliography.
Appendix B: Tables.
Appendix C: Summation Notation.
Appendix D: Microsoft Excel and Tools for Statistical Analysis.
Appendix E: Computing p-Values Using JMP and Excel.
Appendix F: Microsoft Excel Online and Tools for Statistical Analysis.
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Statistics for Business and Economics 10/e (10版)
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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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Basic Statistics for Business & Economics (10版)
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Basic Statistics for Business & Economics作 / 譯 者 ：Douglas A. Lind,William G. Marchal,Samuel A. WathenI S B N - 13 ：9781260597578I S B N - 10 ：1260597571類 別：統計學
版 次：10 版年 份：2022規 格：609 頁出 版 商：McGraw Hill Education
簡介
Basic Statistics in Business and Economics offers a step-by-step approach to introductory descriptive and inferential statistics and illustrates the application of statistics using examples and exercises that focus on business applications but also relate to the current world of the college student. A previous course in statistics is not necessary, and the mathematical requirement is first-year algebra.
目錄
Ch 1 What is Statistics?
Ch 2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
Ch 3 Describing Data: Numerical Measures
Ch 4 Describing Data: Displaying and Exploring Data
Ch 5 A Survey of Probability Concepts
Ch 6 Discrete Probability Distributions
Ch 7 Continuous Probability Distributions
Ch 8 Sampling, Sampling Methods, and the Central Limit Theorem
Ch 9 Estimation and Confidence Intervals
Ch 10 One-Sample Tests of Hypothesis
Ch 11 Two-Sample Tests of Hypothesis
Ch 12 Analysis of Variance
Ch 13 Correlation and Linear Regression
Ch 14 Multiple Regression Analysis
Ch 15 Nonparametric Methods: Nominal-Level Hypothesis Tests
APPENDIXES: DATA SETS, TABLES, ANSWERS
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