Statistics for Archaeologists

A Common Sense Approach

By: Robert D. Drennan

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Paperback | 25 March 2010 | Edition Number 2

At a Glance

Paperback
352 Pages

Edition Type
Revised

Dimensions(cm)
22.86 x 15.88 x 2.54

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$139.00

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In the decade since its publication, the first edition of Statistics for Archaeologists has become a staple in the classroom. Taking a jargon-free approach, this teaching tool introduces the basic principles of statistics to archaeologists. The author covers the necessary techniques for analyzing data collected in the field and laboratory as well as for evaluating the significance of the relationships between variables. In addition, chapters discuss the special concerns of working with samples. This well-illustrated guide features several practice problems making it an ideal text for students in archaeology and anthropology.

Using feedback from students and teachers who have been using the first edition, as well as another ten years of personal experience with the text, the author has provided an updated and revised second edition with a number of important changes. New topics covered include:

-Proportions and Densities
-Error Ranges for Medians
-Resampling Approaches
-Residuals from Regression
-Point Sampling
-Multivariate Analysis
-Similarity Measures
-Multidimensional Scaling
-Principal Components Analysis
-Cluster Analysis

Those already familiar with the clear and useful format of Statistics for Archaeologists will find this new edition a welcome update, and the new sections will make this seminal textbook an indispensible resource for a whole new group of students, professors, and practitioners.

Industry Reviews

From the reviews of the second edition: "For the indicated type of audience, this is a superb book, setting the use of basic statistics in a format that makes sense of the formulas rather than just saying 'compute this.' ! Robert Drennan ! have succeeded where others have failed, namely to explain, in an understandable way, the advantages of simple statistical techniques in a specific applied context. I heartily recommend this text." (Norman R. Draper, International Statistical Review, Vol. 79 (1), 2011)

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