# 1027526

Statistical Techniques in Business and Economics


Εκδότης: McGraw-Hill Education - Europe
ISBN: 9781259095641
Σειρά βιβλίου: College Ie Overruns
Αριθμός Σελίδων: 860
Διαστάσεις: 26x3x21
Έτος Έκδοσης: 2014

Σύνοψη του βιβλίου "Statistical Techniques in Business and Economics"

Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of business-focused examples that are relevant to the current world of a college student. Known as a "student's text," Lind's supporting pedagogy includes self-reviews, cumulative exercises, and coverage of software applications including Excel, Minitab, and MegaStat for Excel. And now, McGraw-Hill's adaptive learning component, LearnSmart, provides assignable modules that help students master chapter core concepts and come to class more prepared. In addition, resources within Connect Plus help students solve problems and apply what they've learned. Lind's real-world examples, comprehensive coverage, and superior pedagogy combine with a complete digital solution to help students achieve higher outcomes in the course.


Συγγραφέας/εις: Lind Douglas A., Marchal William G., Wathen Samuel Adam
Κατηγορία: undergraduate
Σειρά βιβλίου: College Ie Overruns
ISBN: 9781259095641
Ημερ/νία έκδοσης: 01/02/2014
Εξώφυλλο: Paperback
Σελίδες: 860
Τόπος έκδοσης: London
Χώρα έκδοσης: United States
Βάρος βιβλίου: 1374 gr
Διαστάσεις βιβλίου: 26x3x21 cm
Στοιχεία έκδοσης: 16th International edition

Περιεχόμενα

Chapter 1 What Is Statistics? Chapter 2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 3 Describing Data: Numerical Measures Chapter 4 Describing Data: Displaying and Exploring Data Chapter 5 A Survey of Probability Concepts Chapter 6 Discrete Probability Distributions Chapter 7 Continuous Probability Distributions Chapter 8 Sampling Methods and the Central Limit Theorem Chapter 9 Estimation and Confidence Intervals Chapter 10 One-Sample Tests of Hypothesis Chapter 11 Two-Sample Tests of Hypothesis Chapter 12 Analysis of Variance Chapter 13 Correlation and Linear Regression Chapter 14 Multiple Regression Analysis Chapter 15 Nonparametric Methods: Nominal Level Hypothesis Tests Chapter 16 Nonparametric Methods: Analysis of Ordinal Data Chapter 17 Index Numbers Chapter 18 Time Series and Forecasting Chapter 19 Statistical Process Control and Quality Management Chapter 20 An Introduction to Decision Theory (Web)

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