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Microsoft Excel (Computer file)

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Cette 3e édition met l'accent sur l'importance de la collecte des données, intègre les derniers développements des logiciels et s'enrichit de nouveaux exercices et d'éléments sur les équations structurelles. Elle couvre l'intégralité du programme de statistique – descriptive, inférentielle et exploratoire – dispensé en formations initiale et approfondie de gestion et d'économie. Le lecteur y trouvera : un support théorique avec les définitions et propriétés essentielles, accompagnées d'applications permettant d'appréhender les notions statistiques abordées ; des exemples de traitements par logiciels statistiques avec le détail des menus et des options ; une méthodologie du questionnaire : élaboration, administration et évaluation ; l'interprétation des résultats d'études réalisées dans les différents domaines de la gestion après élaboration d'analyses statistiques (analyse financière comparée, études de marché, prévisions de vente…) ; des exercices et QCM corrigés. Cet ouvrage constitue un outil complet de préparation aux examens (test MESSAGE d'entrée en LSG, LCCA, entrée en MAE…).

Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Microsoft Excel (Computer file)

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Updated look at financial modeling and Monte Carlo simulation with software by Oracle Crystal Ball This revised and updated edition of the bestselling book on financial modeling provides the tools and techniques needed to perform spreadsheet simulation. It answers the essential question of why risk analysis is vital to the decision-making process, for any problem posed in finance and investment. This reliable resource reviews the basics and covers how to define and refine probability distributions in financial modeling, and explores the concepts driving the simulation modeling process

BUSINESS & ECONOMICS / Investments & Securities. --- Finance -- Mathematical models. --- Microsoft Excel (Computer file). --- Finance --- Investments --- Mathematical models --- Crystal ball (Computer file) --- Microsoft Excel (Computer file)

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Managers and analysts routinely collect and examine key performance measures to better understand their operations and make good decisions. Being able to render the complexity of operations data into a coherent account of significant events requires an understanding of how to work well in the electronic environment with raw data. Although some statistical and financial techniques for analyzing data are sophisticated and require specialized expertise, there are methods that are understandable by and applicable to anyone with basic algebra skills and the support of a spreadsheet package. While specialized software packages may be used in a particular business setting, Microsoft Excel is routinely available on computer desktops. Managers who have been in the field any length of time may not be sufficiently familiar with the capabilities of Excel to make optimal use of its functionalities. Prior to undertaking a program to pursue executive training, managers who are refreshed with basic algebra skills and the capabilities of Excel will be prepared to develop a richer understanding from their more advanced work.

Business mathematics --- Computer programs. --- Microsoft Excel (Computer file) --- Microsoft Excel --- refreshing math skills --- business math --- statistical analysis --- financial analysis --- mathematical modeling

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The ability to summarise data, compare models and apply computer-based analysis tools are vital skills necessary for studying and working in the physical sciences. This textbook supports undergraduate students as they develop and enhance these skills. Introducing data analysis techniques, this textbook pays particular attention to the internationally recognised guidelines for calculating and expressing measurement uncertainty. This new edition has been revised to incorporate Excel® 2010. It also provides a practical approach to fitting models to data using non-linear least squares, a powerful technique which can be applied to many types of model. Worked examples using actual experimental data help students understand how the calculations apply to real situations. Over 200 in-text exercises and end-of-chapter problems give students the opportunity to use the techniques themselves and gain confidence in applying them. Answers to the exercises and problems are given at the end of the book.

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