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Solucionario de estadistica descriptiva de rufino moya calderon rapidshare This solucionario is aimed to build the skills of the beginning quantitative researcher. It consists of chapters that cover detailed information about measurement, distributions, summary statistics, models estimation and hypothesis testing. The book also includes chapters about exploratory data analysis with statistical programs such as SAS and STATA, standard error estimation for regression analysis or t-tests for means comparison. You can download this book at no cost! It should be noted that this text was recently published in spanish by McGraw Hill education- first released on 2014 - 2016). The first edition was originally published in 1992. The book is geared towards the social sciences and the students should be familiar with basic statistical concepts covered in introductory courses such as multivariate data analysis, descriptive statistics and probability. The first chapter of the book includes a brief introduction to probability and statistical inference. The second chapter describes different types of measurement scales that can be used to quantify variables. It also describes different types of quantitative variables that can be used to describe individuals. We also learn about the mathematics behind frequency distributions: central tendency and variation, which can be estimated using mean, median and mode. The fourth chapter of the book introduces categorical variables, that can be measured with frequencies, frequencies of categories or frequencies of discrete values. The fourth chapter also includes a description on correlation coefficients and correlation between two continuous variables. In the fifth chapter, we learn about measures of association such as chi-square test as well as measures of association such as Spearman's rank correlation coefficient and general additive models. We also learn about generalized additive models - GAMS - a structured statistical model for classification problems. In the sixth chapter, we learn about the graphical models. It covers three popular graphical models: simplex, s4 and fuzzy c4. In the seventh chapter, we learn about regression models and estimation of model coefficients. In the eighth chapter statistics for continuous variables are described together with a brief introduction to linear models, logistic regression and logarithm transformations. The ninth chapter provides a description on statistical tests such as measures of association, hypothesis tests for mean comparison between groups, one-way analysis of variance test, two-way analysis of variance test and ANOVA general linear model with data overpopulated from two normal populations or correlation coefficients. In the tenth chapter, we learn about tests of association with two-way analysis of variance, multiple comparisons and the F test. In the eleventh chapter, we learn about techniques for hypothesis testing such as Wald chi-square test and one-way analysis of variance. We end the book with a dozen realistic exercises to practice our skills. The first edition was published in 1992 by Harcourt Brace Jovanovich . It has 525 pages, contains 34 illustrations and contains a bibliography. The paperback first edition was published in 1992. The second edition was published in 1998 by McGraw Hill Education . It has 542 pages, contains 35 illustrations and contains a bibliography. cfa1e77820
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