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Table of contents:
1 What Is Statistics?
2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
3 Describing Data: Numerical Measures
4 Describing Data: Displaying and Exploring Data
5 A Survey of Probability Concepts
6 Discrete Probability Distributions
7 Continuous Probability Distributions
8 Sampling Methods and the Central Limit Theorem
9 Estimation and Confidence Intervals
10 One-Sample Tests of Hypothesis
11 Two-Sample Tests of Hypothesis
12 Analysis of Variance
13 Linear Regression and Correlation
14 Multiple Regressions and Correlation Analysis
15 Index Numbers
16 Time Series and Forecasting
17 Nonparametric Methods: Chi-Square Applications
18 Nonparametric Methods: Analysis of Ranked Data
19 Statistical Process Control and Quality Management
20 An Introduction to Decision Theory
MegaStat for Excel
Visual Statistics 2.0
Appendixes
Photo Credits
Index
Best Undergraduate Statistics book availableAs an undergraduate and graduate statistics faculty, I have read and taught from many different statistics books (at least a dozen by a quick count). This book by Mason, et.al. is superior to all and far superior to many (including many texts used for graduate business statistics).It is clearly written, well organized, and does not use up a lot of space with massive amounts of output from statistics packages that one will not use outside of the classroom.I have recommended it many times to students as an alternate to the extant class textbook, for all of the graduate and undergraduate business statistics classes that I teach.
Clearly the best for undergraduate studentsI have never been interested in reading a statistic textbook,simply because most of them are boring and totally confusing, but AIMR recommended this book as the official reading for year 1999. When I have a copy of this book for my study, I was surprised. The book explains many statistic concepts in clear, plain English without many confusing terms. It describes the concepts step by steps, coupled with many interesting examples.So far the best statistic textbook I've ever read. It is good for undergraduate, but I believe it is good for graduate students too.
Wirklich gut und v.a. sehr klarIch studiere Wirtschaft in Innsbruck und dieses war mein Lehrbuch. Ich bin eigentlich kein großes Mathe-Genie, aber dank der guten Erläuterungen (mit vielen praxisnahen Beispielen) habe auch ich eine 1 geschafft, also schnappt es euch!!!
Written by statisticians for statisticians, not under gradsPositive aspects: Many examples for practice.Negative aspects: Definition of terms are too complex and require further explanation. Most definition of terms refer to terms defined in previous chapters. This causes far too much searching and flipping through pages looking for previously defined terms. Guaranteed headache in 2.5 minutes. Recommendation: Only read if you are a hard core statistician. I had to suffer through this book only because it was required reading for an undergraduate statistics class at the university I attend. My classmates and I have asked our instuctor to never use this book again for an undergraduate level class. Ten editions and they still can't get it right!
Brockhaus-1911: Lind · Douglas [4] · Douglas [3] · Douglas · Douglas [2]
Herder-1854: Lind · Douglas [2] · Douglas [1]
Meyers-1905: Lind · Lind. · Douglas [3] · Akers-Douglas · Douglas [1] · Douglas [2]
Pagel-1901: Carden, Henry Douglas
Pierer-1857: Lind [2] · Lind [1] · Ober-Lind · Douglas · Douglas [1] · Douglas [2] · Douglas [3]