Introductory Statistics (10版)

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【簡介】 　Weiss’s Introductory Statistics, Tenth Edition, is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding. 　　This text contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. 【目錄】 PART I: INTRODUCTION Ch 1 The Nature of Statistics PART II: DESCRIPTIVE STATISTICS Ch 2 Organizing Data Ch 3 Descriptive Measures PART III: PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS Ch 4 Probability Concepts Ch 5 Discrete Random Variables∗ Ch 6 The Normal Distribution Ch 7 The Sampling Distribution of the Sample Mean PART IV: INFERENTIAL STATISTICS Ch 8 Confidence Intervals for One Population Mean Ch 9 Hypothesis Tests for One Population Mean Ch 10 Inferences for Two Population Means Ch 11 Inferences for Population Standard Deviations∗ Ch 12 Inferences for Population Proportions Ch 13 Chi-Square Procedures PART V: REGRESSION, CORRELATION, AND ANOVA Ch 14 Descriptive Methods in Regression and Correlation Ch 15 Inferential Methods in Regression and Correlation Ch 16 Analysis of Variance (ANOVA) PART VI: MULTIPLE REGRESSION AND MODEL BUILDING; EXPERIMENTAL DESIGN AND ANOVA∗∗ MODULE A: Multiple Regression Analysis MODULE B: Model Building in Regression MODULE C: Design of Experiments and Analysis of Variance

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.

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

行為科學統計學 中文第四版 修訂版 2022年 (Understanding Statistics in the Behavioral Sciences 10/E) (4版)

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行為科學統計學 中文第四版 修訂版 2022年 (Understanding Statistics in the Behavioral Sciences 10/E) 作/ 譯者：Pagano/趙碧華.潘中道.郭俊賢 譯 ISBN：9786269595341 年份：2022 書號：00107571 內容簡介 本書適合所有初學統計的讀者，即使沒有數學基礎也能輕鬆閱讀。從最基礎的敘述統計、機率原理到推論統計的基本概念，皆以最平實的敘述讓讀者能夠有深刻理解。本書將統計學和實驗方法緊密結合，展現出統計學在科學研究中的重要性。 1. 以實例和應用為內容主軸，避免艱深的統計公式推演。 2. 強調「由做中學」，引導在解題過程中建構統計概。 3. 重視階段性的學習，透過概念闡述、應用實例評量、問題模式回饋，逐步奠定學習的基礎。 4. 每章節均設計行為科學各領域的實例，介紹能實際派上用場的統計學例子。 5. 結合 SPSS 統計軟體的示範操作，在配合軟體的應用後更能明瞭統計圖表及數據的表達方式。 目錄 PART 1　概論 第01章　統計學與科學方法 獲得知識的方法 　定義 　科學研究與統計學 　隨機抽樣 　描述統計與推論統計 　電腦在統計上的應用 　統計學與「真實世界」 PART 2　描述統計學 第02章　統計學的基礎數理與測量概念 研讀統計學的建議 　數學符號 　總和的概念 　測量尺度 　行為科學中的測量尺度 　連續變項與間斷變項 第03章　次數分 分組分數 　百分位數 　百分等級 　次數分配圖示法 　探索性的資料分析 第04章　集中趨勢與變異性的測量方法 集中趨勢測量 　變異性測量方法 第05章　常態分配與標準分數 常態分配曲線 　標準分數（z 值） 第06章　簡單相關 關係 　相關 第07章　直線迴歸 預測與不完全關係 　建構最小平方迴歸線：Y 對 X 的迴歸 　預測誤差的測量：估計標準誤 　使用線性迴歸預測時的考量 　迴歸係數與皮爾森 r 值間的關係 　複迴歸 PART 3　推論統計學 第08章　隨機抽樣與機率 隨機抽樣 　機率 第09章　二項分配 二項分配的定義與說明 　無限擴張的二項式產生二項分配 　使用二項式表 　使用常態近似值法 第10章　以符號檢定來簡介假設檢定 假設檢定的邏輯 　第一類型和第二類型錯誤 　顯著水準（α）和決策過程 　評估分配的兩端 　單尾和雙尾的機率評估 　效果量：顯著性對重要性 第11章　考驗力 什麼是考驗力？ 　Pnull 與 Preal 　AIDS 實驗的考驗力分析 　Alpha-Beta 和真實 　解釋不顯著結果 　計算考驗力 第12章　平均數的抽樣分配、 Z 檢定、單一樣本之Student's t 檢定 抽樣分配 　常態離差（z ）檢定 　z 和 t 檢定的比較 　t 的抽樣分配 　t 和 z 分配的比較 　電競選手參賽能力訓練時間之實驗的修訂 　根據原始分數計算 tobt 　t 檢定適用的情境 　母群體平均數的信賴區間 　皮爾森 r 的顯著性考驗 第13章　適用於關聯和獨立分組的Student's t 檢定 適用於關聯分組的 t 檢定 　適用於獨立分組的 z 檢定和 t 檢定 　適用於獨立分組設計的 z 檢定 　適用於獨立分組的 Student's t 檢定 　t 檢定的考驗力 　關聯分組設計和獨立分組設計之比較 第14章　變異數分析 　F 檢定和變異數分析（ANOVA） 　變異數分析技術的概論 　以變異數分析技術來分析資料 　單因子變異數分析的基本邏輯 　變異數分析和 t 檢定間的關係 　變異數分析的基本假設 　使用 ω2 或 η2 的效果量 　變異數分析的考驗力 　多重比較 第15章　二因子變異數分析 簡介二因子變異數分析──概念說明 　二因子變異數分析的量化說明 　以二因子 ANOVA 分析實驗 　多重比較 　二因子變異數分析的基本假設 第16章　卡方和無母數檢 卡方檢定（X2） 　魏克遜配對符號等級檢定 　曼－惠二氏 U 檢定 　克－瓦二氏檢定 附錄 A 公式 附錄 B 附表 附錄 C 部分習題解答