Statistics for Business and Economics – First European Edition
Paperback Engels 2012 1e druk 9781119993667Samenvatting
Every business area relies on an understanding of statistics to succeed.
Statistics for Business and Economics by Carlos Cortinhas and Ken Black shows students that the proper application of statistics in the business world goes hand–in–hand with good decision making. Every statistical tool presented in this book has a business application set in a global context and the many learning features and easy to use structure will engage and reassure each business statistic student.
Featuring a strong focus on European cases, data and scenarios throughout, Statistics for Business and Economics provides:
Decision Dilemma each chapter opens with a short case describing a real company or business situation, that raises questions to be answered using techniques presented in the chapter. Answers and explanations are given at the end of the chapter bringing closure. Each chapter uses different cases.
Ethical Considerations box underscores the potential misuse of statistics by discussing such topics as lying with statistics, failing to meet statistical assumptions, failing to include pertinent information, and other matters of principle.
Most cases, data and scenarios are based on real information students will recognise and relate to such as Caffè Nero, Nando s, Raleigh, online shopping, European Banks and more.
Specificaties
Lezersrecensies
Inhoudsopgave
INTRODUCTION
<p>1 Introduction to Statistics 3</p>
<p>2 Charts and Graphs 19</p>
<p>3 Descriptive Statistics 51</p>
<p>4 Probability 102</p>
<p>UNIT II DISTRIBUTIONS AND SAMPLING</p>
<p>5 Discrete Distributions 149</p>
<p>6 Continuous Distributions 194</p>
<p>7 Sampling and Sampling Distributions 234</p>
<p>UNIT III MAKING INFERENCES ABOUT POPULATION PARAMETERS</p>
<p>8 Statistical Inference: Estimation for Single Populations 271</p>
<p>9 Statistical Inference: Hypothesis Testing for Single Populations 310</p>
<p>10 Statistical Inferences About Two Populations 363</p>
<p>11 Analysis of Variance and Design of Experiments 422</p>
<p>UNIT IV REGRESSION ANALYSIS AND FORECASTING</p>
<p>12 Simple Regression Analysis and Correlation 487</p>
<p>13 Multiple Regression Analysis 545</p>
<p>14 Building Multiple Regression Models 578</p>
<p>15 Time–Series Forecasting and Index Numbers 625</p>
<p>UNIT V CATEGORICAL DATA AND NON–PARAMETRIC STATISTICS</p>
<p>16 Analysis of Categorical Data 685</p>
<p>17 Non–parametric Statistics 713</p>
<p>APPENDICES</p>
<p>A Tables 765</p>
<p>B Answers to Selected Odd–Numbered Quantitative Problems 807</p>
<p>GLOSSARY 819</p>
<p>INDEX 829</p>
<p>WEBSITE MATERIALS</p>
<p>18 Statistical Quality Control</p>
<p>19 Decision Analysis</p>
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