商用統計學(Lind/Statistical Techniques in Business and Economics 19e) (19版)

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【簡介】 本書主要是針對管理、行銷、財務、會計、經濟等領域的商學院學生，提供敘述統計、推論統計學重要概念及相關領域的入門課程。藉由實用性範例，讓學生有系統地知道如何將學到的觀念運用在日常生活及相關應用上。同時，透過大量使用解釋範例來取代繁瑣的計算過程，有效地幫助學生了解各種理論觀念並學習如何審慎判斷統計結果，進而將大量數據資料化繁爲簡，整理成有意義的資訊。 本書特色 一、每章節皆提供學生明確的學習目標，淸楚掌握重點。 二、運用反覆逐步的方法提供連續的概念，增進學生的理解能力。 三、介紹重要的概念之後，提供範例/解答，引導學生自我學習、理解並詮釋每章節的重要概念和公式。 四、統計學術語定義和公式特別設計專欄加框強調，以便參考與複習。 五、每章中都穿插自我複習，幫助學生追蹤進度，加強可能不熟悉的概念與內容。 六、每小節後與各章結尾都涵蓋所學過內容的章節習題。 【目錄】 第1章 何謂統計學？ 第2章 資料的描述：次數表、次數分配與圖形的呈現 第3章 資料的描述：數值的測量 第4章 資料的描述：展現與探索資料 第5章 機率觀念概述 第6章 離散型機率分配 第7章 連續型機率分配 第8章 抽樣、抽樣方法與中央極限定理 第9章 估計與信賴區間 第10章 單樣本的假設檢定 第11章 雙樣本的假設檢定 第12章 變異數分析 第13章 相關分析與線性迴歸 第14章 複迴歸分析 第15章 非參數方法：名目與順序尺度資料的假設檢定

Statistical Techniques in Business and Economics(Custom Edition) (19版)

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【簡介】 From its origins in 1976, Statistical Techniques in Business and Economics has become a best seller, providing students across the business specialisms with an introductory survey of descriptive and inferential statistics. With a step-by-step approach and clear writing style, any student can learn and succeed in Business Statistics. The new edition includes a focus on the development of basic data analytical skills. Microsoft Excel, Minitab, and MegaStat are used throughout the text to illustrate statistical software analyses, and screen captures are used within the chapters, so the student becomes familiar with the nature of the software output. Additional resources are available online through Connect, with references or links in the text to Excel tutorials that provide users with clear demonstrations using statistical software to create graphical and descriptive statistics and analyses to test hypotheses. What's changed: The Nineteenth Edition made several changes to the flow and organization of the text by adding the sampling distribution of the proportion to Chapter 8, moving the one- and two-sample tests of hypothesis for proportions to Chapters 10, preceding the two-sample tests of hypothesis in Chapter 11 with the F-distribution, and the revision of several Chapter introductions. Many of the calculation examples have been replaced with interpretative ones to help students understand and interpret the statistical results with more emphasis on the conceptual nature of the topics. This edition also brings a renewed recognition of diversity, equity, and inclusion to the text, exercises, and examples through an increased diversity of persons and businesses from varied geographic, ethnic, and cultural groups. 【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 Ch10 One-Sample Tests of Hypothesis Ch11 Two-Sample Tests of Hypothesis Ch12 Analysis of Variance Ch13 Correlation and Linear Regression Ch14 Multiple Regression Analysis Ch15 Nonparametric Methods Nominal Level Hypothesis Tests Ch16 Nonparametric Methods:Analysis of Ordinal Data Ch17 Index Numbers

Approaches to Corporate Social Responsibility: Knowledge, Values, and Actions 2024 (Routledge Studies in Business Ethics)

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Following recent growth of ethical consumerism, customers and other stakeholders increasingly pressure organizations to be socially responsible and minimize their negative impact on the environment. Accordingly, a plethora of firms have integrated corporate social responsibility (CSR) at the center of their business strategies and actions. Whilst this has resulted in many firms meeting their broader responsibilities toward society and the environment, some firms have used CSR in a manipulative and insincere way. As stakeholders become aware of such misuse of CSR, largely thanks to the rapid evolution of information technologies, they start to penalize firms by spreading negative word of mouth about them, and specifically about their CSR knowledge, values, and actions. Now, more than ever before, stakeholders are increasingly critical and cautious in their assessments of firms’ CSR knowledge, values, and actions. On this background, this edited volume sheds light on different internal and external perspectives spanning CSR knowledge, values, and actions. It shares theoretical, practical, and case-based insights on the broader topic and can be of interest to researchers, academics, practitioners, and advanced students in the fields of CSR and business ethics, knowledge management, strategy, and marketing.