LEADER 00000cam a2200673Ka 4500 
001    ocn795705267 
003    OCoLC 
005    20190405013546.5 
006    m     o  d         
007    cr cnu---unuuu 
008    120618s2012    enka    ob    001 0 eng d 
019    826684906|a960495004|a980544743|a980794615|a1055685171 
020    9781139423328|q(electronic book) 
020    1139423320|q(electronic book) 
020    9781139022699|q(electronic book) 
020    1139022695|q(electronic book) 
020    |z9780521147088 
020    |z0521147085 
020    9781139419239 
020    1139419234 
035    (OCoLC)795705267|z(OCoLC)826684906|z(OCoLC)960495004
       |z(OCoLC)980544743|z(OCoLC)980794615|z(OCoLC)1055685171 
040    N$T|beng|epn|cN$T|dE7B|dYDXCP|dOCLCQ|dCAMBR|dIDEBK|dOCLCF
       |dOCLCQ|dTXI|dOCLCQ|dYDX|dOCLCQ|dUUM|dCDX|dUAB|dAU@|dOCLCQ
049    RIDW 
050  4 GN34.3.S7|bM33 2012eb 
066    |c(S 
072  7 SOC|x002000|2bisacsh 
072  7 SOC|x053000|2bisacsh 
072  7 SOC|x026000|2bisacsh 
082 04 301.072/7|223 
084    SCI070050|2bisacsh 
090    GN34.3.S7|bM33 2012eb 
100 1  Madrigal, Lorena.|0https://id.loc.gov/authorities/names/
       nb97090635 
245 10 Statistics for anthropology /|cLorena Madrigal. 
250    2nd ed. 
264  1 Cambridge :|bCambridge University Press,|c2012. 
300    1 online resource (xiv, 264 pages) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|2rdaft 
504    Includes bibliographical references and index. 
505 0  |6880-01|aList of partial statistical tables -- Preface --
       Introduction to statistics and simple descriptive 
       statistics -- The first step in data analysis: summarizing
       and displaying data : computing descriptive statistics -- 
       Probability and statistics -- Hypothesis testing and 
       estimation -- The difference between two means -- The 
       analysis of variance (ANOVA) -- Non-parametric tests for 
       the comparison of samples -- The analysis of frequencies -
       - Correlation analysis -- Simple linear regression -- 
       Advanced topics in regression analysis. 
520    "Anthropology as a discipline is rapidly becoming more 
       quantitative, and anthropology students are now required 
       to develop sophisticated statistical skills. This book 
       provides students of anthropology with a clear, step-by-
       step guide to univariate statistical methods, demystifying
       the aspects that are often seen as difficult or 
       impenetrable. Explaining the central role of statistical 
       methods in anthropology, and using only anthropological 
       examples, the book provides a solid footing in statistical
       techniques. Beginning with basic descriptive statistics, 
       this new edition also covers more advanced methods such as
       analyses of frequencies and variance, and simple and 
       multiple regression analysis with dummy and continuous 
       variables. It addresses commonly encountered problems such
       as small samples and non-normality. Each statistical 
       technique is accompanied by clearly worked examples, and 
       the chapters end with practice problem sets"--|cProvided 
       by publisher. 
588 0  Print version record. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Anthropology|xStatistical methods.|0https://id.loc.gov/
       authorities/subjects/sh85005585 
650  7 Anthropology|xStatistical methods.|2fast|0https://
       id.worldcat.org/fast/810235 
655  4 Electronic books. 
776 08 |iPrint version:|aMadrigal, Lorena.|tStatistics for 
       anthropology.|b2nd ed.|dCambridge : Cambridge University 
       Press, 2012|z9780521147088|w(DLC)  2011044367
       |w(OCoLC)760532219 
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=451687|zOnline eBook via EBSCO. Access 
       restricted to current Rider University students, faculty, 
       and staff. 
856 42 |3Instructions for reading/downloading the EBSCO version 
       of this eBook|uhttp://guides.rider.edu/ebooks/ebsco 
880 8  |6505-00/(S|a3.1 Random sampling and probability 
       distributions -- 3.2 The probability distribution of 
       qualitative and discontinuous numeric variables -- 3.3 The
       binomial distribution -- 3.4 The Poisson distribution -- 
       3.5 Bayes' theorem -- 3.6 The probability distribution of 
       continuous variables -- 3.6.1 z scores and the standard 
       normal distribution (SND) -- 3.6.2 Percentile ranks and 
       percentiles -- 3.6.3 The probability distribution of 
       sample means -- 3.6.4 Is my bell shape normal-- 3.7 
       Chapter 3 key concepts -- 3.8 Computer resources -- 3.9 
       Chapter 3 exercises -- 4 Hypothesis testing and estimation
       -- 4.1 Different approaches to hypothesis testing and 
       estimation -- 4.1.1 The classical significance testing 
       approach -- 4.1.2 The maximum likelihood approach -- 4.1.3
       The Bayesian approach -- 4.2 Estimation -- 4.2.1 
       Confidence limits and confidence interval -- 4.2.2 Point 
       estimation -- 4.3 Hypothesis testing -- 4.3.1 The 
       principles of hypothesis testing -- (1) The null (H0) and 
       alternative (H1) hypotheses are stated -- (2) Establish 
       the significance level -- (3) Data collection -- (4) 
       Compare the sample with the null hypothesis, and reach a 
       conclusion about the latter -- 4.3.2 Errors and power in 
       hypothesis testing -- 4.3.2.1 Type I error (β) -- 4.3.2.2 
       Type II error (β) -- 4.3.2.3 Power of statistical tests (1
       -- β) -- 4.3.3 Hypothesis tests using z scores -- 4.3.4 
       One- and two-tailed hypothesis tests -- 4.3.5 Assumptions 
       of statistical tests -- 4.3.6 Hypothesis testing with the 
       t distribution -- 4.3.7 Hypothesis tests using t scores --
       4.3.8 Reporting hypothesis tests -- 4.3.9 The classical 
       significance testing approach. A conclusion -- 4.4 Chapter
       4 key concepts -- 4.5 Chapter 4 exercises -- 5 The 
       difference between two means -- 5.1 The un-paired t test -
       - 5.1.1 Assumptions of the un-paired t test -- 5.1.1.1 
       Random sampling -- 5.1.1.2 Independence of variates. 
880 8  |6505-01/(S|a9.2.2 Kendalls coefficient of rank 
       correlation -- tau (τ) -- 9.3 Chapter 9 key concepts -- 
       9.4 Chapter 9 exercises -- 10 Simple linear regression -- 
       10.1 An overview of regression analysis -- 10.2 Regression
       analysis step-by-step -- 10.2.1 The data are plotted and 
       inspected to detect violations of the linearity and 
       homoscedasticity assumptions -- 10.2.2 The relation 
       between the X and the Y is described mathematically with 
       an equation -- 10.2.3 The regression analysis is expressed
       as an analysis of the variance of Y -- 10.2.4 The null 
       hypothesis that the parametric value of the slope is not 
       statistically different from 0 is tested -- 10.2.5 The 
       regression equation is used to predict values of Y -- 
       10.2.6 Lack of fit is assessed -- 10.2.7 The residuals are
       analyzed -- 10.3 Transformations in regression analysis --
       10.4 Chapter 10 key concepts -- 10.5 Computer resources --
       10.6 Chapter 10 exercises -- 11 Advanced topics in 
       regression analysis -- 11.1 The multiple regression model 
       -- 11.1.1 The problem of multicollinearity/collinearity --
       11.1.2 The algebraic computation of the multiple 
       regression equation -- 11.1.3 An overview of multiple-
       regression-model building -- 11.1.4 Dummy independent 
       variables -- 11.2 An overview of logistic regression -- 
       11.3 Writing up your results -- 11.4 Chapter 11 key 
       concepts -- 11.5 Computer resources -- 11.6 Chapter 11 
       exercises -- References -- Index. 
901    MARCIVE 20231220 
948    |d20190507|cEBSCO|tEBSCOebooksacademic NEW 4-5-19 7552
       |lridw 
994    92|bRID