Cantitate/Preț
Produs

Statistics for Managers Using Microsoft Excel, Global Edition

Autor David Levine, David Stephan, Kathryn Szabat
en Limba Engleză Paperback – 14 aug 2020

For one-semester courses in Introduction to Business Statistics. The gold standard in learning Microsoft Excelfor business statistics Statistics for Managers Using Microsoft (R) Excel (R), 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.

Citește tot Restrânge

Preț: 57419 lei

Preț vechi: 65999 lei
-13% Nou

Puncte Express: 861

Preț estimativ în valută:
10989 11336$ 9300£

Carte disponibilă

Livrare economică 12-26 februarie
Livrare express 28 ianuarie-01 februarie pentru 6384 lei

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781292338248
ISBN-10: 1292338245
Pagini: 752
Dimensiuni: 277 x 218 x 29 mm
Greutate: 1.47 kg
Ediția:9 ed
Editura: Pearson Education

Cuprins

  • 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