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Statistics for Managers Using Microsoft Excel, Global Edition

Statistics for Managers Using Microsoft Excel, Global Edition

Autorzy
Wydawnictwo Pearson Education Limited
Data wydania 01/01/1900
Liczba stron 752
Forma publikacji książka w miękkiej oprawie
Poziom zaawansowania Dla profesjonalistów, specjalistów i badaczy naukowych
Język angielski
ISBN 9781292338248
Kategorie Statystyka ekonomiczna
485.10 PLN (z VAT)
$109.12 / €104.00 / £90.29 /
Produkt na zamówienie
Dostawa 3-4 tygodnie
Ilość
Do schowka

Opis książki

For one-semester courses in Introduction to Business Statistics.

The gold standard in learning Microsoft Excelfor business statistics

Statistics for Managers Using Microsoft® Excel®, 9th Edition, Global Edition helps students develop the knowledge of Excel needed in future careers. The authors present statistics in the context of specific business fields, and now include a full chapter on business analytics. Guided by principles set forth by ASA’s Guidelines for Assessment and Instruction (GAISE) reports and the authors’ diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. Current data throughout gives students valuable practice analysing the types of data they will see in their professions, and the authors’ friendly writing style includes tips and learning aids throughout.

Statistics for Managers Using Microsoft Excel, Global Edition

Spis treści

  • 1 Defining and Collecting Data
  • 2 Organizing and Visualizing Variables
  • 3 Numerical Descriptive Measures
  • 4 Basic Probability
  • 5 Discrete Probability Distributions
  • 6 The Normal Distribution and Other Continuous Distributions
  • 7 Sampling Distributions
  • 8 Confidence Interval Estimation
  • 9 Fundamentals of Hypothesis Testing: One-Sample Tests
  • 10 Two-Sample Tests
  • 11 Analysis of Variance
  • 12 Chi-Square and Nonparametric Tests
  • 13 Simple Linear Regression
  • 14 Introduction to Multiple Regression
  • 15 Multiple Regression Model Building
  • 16 Time-Series Forecasting
  • 17 Business Analytics
  • 18 Getting Ready to Analyze Data in the Future

Download the detailed table of contents

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