ISE Statistical Techniques in Business and Economics -

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Résumé :
Statistical Techniques in Business and Economics, 18e is a best seller, originally published in 1967 to provide students majoring in management, marketing, finance, accounting, economics, and other fields of business administration with an introductory survey of descriptive and inferential statistics. Its hallmark presentation boasts a step by step approach that was written so clearly that any student can learn and succeed in Business Statistics. Its simple language and use of multiple examples focus on business applications, but also relate to the current world of the college student. This step-by-step approach enhances performance, accelerates preparedness, and significantly improves motivation. Lind's real-world examples, comprehensive coverage, and superior pedagogy that now includes data analytics coverage, combined with a complete digital solution help students achieve higher outcomes in the course.

Biographie:
Douglas A. Lind earned his B.S. in Business from Bowling Green State University, and his Ph.D. and M.B.A. from the University of Toledo. He is Emeritus Professor at Coastal Carolina University and the University of Toledo. Dr. Lind is a co-author of Statistical Techniques in Business and Economics with the late Robert D. Mason and William G. Marchal. He has more than 38 years of college teaching experience, including teaching statistics at the introductory, intermediate, and advanced undergraduate levels, as well as graduate courses in statistics and research methods. Dr. Lind is a past recipient of the Tony DeJute Outstanding Teacher Award.

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

Appendix:
Data Sets, Tables, Software Commands, Answers