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Statistics for Archaeologists A Common Sense Approach

:	Robert D. Drennan
:	Statistics for Archaeologists A Common Sense Approach
:	Springer-Verlag
:	9781441904133
:	2
:	CHF 109.50
:

:	Altertum
:	English

:	333
:	Wasserzeichen/DRM
:	PC/MAC/eReader/Tablet
:	PDF

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.

	Preface to the Second Edition	6
	Contents	12
	Part I Numerical Exploration	17
	1 Batches of Numbers	18
	Stem-and-Leaf Plots	19
	Back-to-Back Stem-and-Leaf Plots	24
	Histograms	26
	Multiple Bunches or Peaks	26
	Practice	29
	2 The Level or Center of a Batch	31
	The Mean	31
	The Median	33
	Outliers and Resistance	34
	Eliminating Outliers	34
	The Trimmed Mean	35
	Which Index to Use	37
	Batches with Two Centers	37
	Practice	39
	3 The Spread or Dispersion of a Batch	41
	The Range	41
	The Midspread or Interquartile Range	42
	The Variance and Standard Deviation	43
	The Trimmed Standard Deviation	46
	Which Index to Use	48
	Practice	50
	4 Comparing Batches	51
	The Box-and-Dot Plot	51
	Removing the Level	56
	Removing the Spread	56
	Unusualness	59
	Standardizing Based on the Mean and Standard Deviation	62
	Practice	63
	5 The Shape or Distribution of a Batch	64
	Symmetry	64
	Transformations	66
	Correcting Asymmetry	69
	The Normal Distribution	72
	Practice	74
	6 Categories	75
	Column and Row Proportions	81
	Proportions and Densities	82
	Bar Graphs	83
	Categories and Sub-batches	85
	Practice	87
	Part II Sampling	89
	7 Samples and Populations	90
	What Is Sampling?	91
	Why Sample?	91
	How Do We Sample?	93
	Representativeness	96
	Different Kinds of Sampling and Bias	96
	Use of Nonrandom Samples	99
	The Target Population	104
	Practice	107
	8 Different Samples from the Same Population	108
	All Possible Samples of a Given Size	108
	All Possible Samples of a Larger Given Size	111
	The ``Special Batch''	114
	The Standard Error	115
	9 Confidence and Population Means	118
	Getting Started with a Random Sample	119
	What Populations Might the Sample Have Come From?	120
	Confidence versus Precision	126
	Putting a Finer Point on Probabilities – Student's T	129
	Error Ranges for Specific Confidence Levels	132
	Finite Populations	134
	A Complete Example	135
	How Large a Sample Do We Need?	137
	Assumptions and Robust Methods	139
	Practice	141
	10 Medians and Resampling	144
	The Bootstrap	147
	Practice	149
	11 Categories and Population Proportions	150
	How Large a Sample Do We Need?	153
	Practice	154
	Part III Relationships between Two Variables	156
	12 Comparing Two Sample Means	157
	Confidence, Significance, and Strength	161
	Comparison by t Test	163
	The One-Sample t Test	166
	The Null Hypothesis	167
	Statistical Results and Interpretations	170
	Assumptions and Robust Methods	171
	Practice	173
	13 Comparing Means of More than Two Samples	175
	Comparison with Estimated Means and Error Ranges	176
	Comparison by Analysis of Variance	178
	Strength of Differences	184
	Differences between Populations versus Relationshipsbetween Variables	186
	Assumptions and Robust Methods	188
	Practice	189
	14 Comparing Proportions of Different Samples	191
	Comparison with Estimated Proportions and Error Ranges	191
	Comparison with Chi-Square	192
	Measures of Strength	198
	The Effect of Sample Size	199
	Differences between Populations versus Relationships between Variables	201
	Assumptions and Robust Methods	201
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