LEADER 01193nam0 22002891i 450 001 UON00168330 005 20231205103041.923 010 $a38-964538-3-1 100 $a20030401d2002 |0itac50 ba 101 $aeng 102 $aDE 105 $a|||| ||||| 200 1 $aTashelhiyt berber folktales from Tazerwalt (South Morocco)$ea linguistic reanalysis of Hans Stumme's Tazerwalt texts with an english translation$fHarry Stroomer 210 $aKoln$cKoppe$dc2002 215 $a253 p.$d24 cm 410 1$1001UON00166086$12001 $aBerber studies$fedited by Harry Stroomer$v04 606 $aRACCONTI BERBERI$3UONC021923$2FI 620 $aDE$dKöln$3UONL005641 676 $a893.3$cLETTERATURA BERBERA$v21 700 1$aSTROOMER$bHarry$3UONV044393$0657984 712 $aKöppe$3UONV256802$4650 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00168330 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI B Afr 1 0357/004 $eSI AA 25911 5 0357/004 996 $aTashelhiyt berber folktales from Tazerwalt (South Morocco$91282255 997 $aUNIOR LEADER 06258nam 22007215 450 001 9910438145503321 005 20250408073756.0 010 $a1-283-94621-1 010 $a1-4614-5743-2 024 7 $a10.1007/978-1-4614-5743-5 035 $a(CKB)2670000000316177 035 $a(EBL)1081992 035 $a(OCoLC)823388522 035 $a(SSID)ssj0000811894 035 $a(PQKBManifestationID)11956522 035 $a(PQKBTitleCode)TC0000811894 035 $a(PQKBWorkID)10851413 035 $a(PQKB)11311507 035 $a(DE-He213)978-1-4614-5743-5 035 $a(MiAaPQ)EBC1081992 035 $a(PPN)168303795 035 $a(EXLCZ)992670000000316177 100 $a20121215d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistics and Measurement Concepts with OpenStat /$fby William Miller 205 $a1st ed. 2013. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013. 215 $a1 online resource (247 p.) 300 $aDescription based upon print version of record. 311 08$a1-4614-5742-4 320 $aIncludes bibliographical references and index. 327 $aStatistics and Measurement Concepts with OpenStat; Preface; Contents; List of Figures; Chapter 1: Basic Statistics; Introduction; Symbols Used in Statistics; Probability Concepts; Additive Rules of Probability; The Law of Large Numbers; Multiplication Rule of Probability; Permutations and Combinations; Conditional Probability; Bayesian Statistics; Maximum Liklihood (Adapted from S. Purcell, http://statgen.iop.kcl.ac.uk/bgim/mle/sslike_1.html); Model-Fitting; A Simple Example of MLE; Analytic MLE; Numerical MLE; Other Practical Considerations; Removing the Constant; Log-Likelihood 327 $aModel IdentificationLocal Minima; Probabilty as an Area; Sampling; Chapter 2: Descriptive Statistics; The Mean; Variance and Standard Deviation; Estimating Population Parameters: Mean and Standard Deviation; The Standard Error of the Mean; Testing Hypotheses for Differences Between or Among Means; The Nature of Scientific Investigation; Decision Risks; Hypotheses Related to a Single Mean; Determining Type II Error and Power of the Test; Sample Size Requirements for the Test of One Mean; Confidence Intervals for a Sample Mean; Frequency Distributions; The Normal Distribution Model; The Median 327 $aSkewKurtosis; The Binomial Distribution; The Poisson Distribution; The Chi-Squared Distribution; The F Ratio Distribution; The ``Student ? ? t Test; Chapter 3: The Product Moment Correlation; Testing Hypotheses for Relationships Among Variables: Correlation; Scattergrams; Transformation to z Scores; Simple Linear Regression; The Least-Squares Fit Criterion; The Variance of Predicted Scores; The Variance of Errors of Prediction; Testing Hypotheses Concerning the Pearson Product-Moment Correlation; Hypotheses About Correlations in One Population; Test That the Correlation Equals a Specific Value 327 $aTesting Equality of Correlations in Two PopulationsDifferences Between Correlations in Dependent Samples; Partial and Semi-Partial Correlations; Partial Correlation; Semi-Partial Correlation; Autocorrelation; Series; Introduction; Chapter 4: Multiple Regression; The Linear Regression Equation; Least Squares Calculus; Finding a Change in Y Given a Change in X for Y=f(X); Relative Change in Y for a Change in X; The Concept of a Derivative; Some Rules for Differentiating Polynomials; Geometric Interpretation of a Derivative; Finding the Value of X for Which f(X) Is Least 327 $aA Generalization of the Last ExamplePartial Derivatives; Least Squares Regression for Two or More Independent Variables; Matrix Form for Normal Equations Using Raw Scores; Matrix Form for Normal Equations Using Deviation Scores; Matrix Form for Normal Equations Using Standardized Scores; Hypothesis Testing in Multiple Regression; Testing the Significance of the Multiple Regression Coefficient; The Standard Error of Estimate; Testing the Regression Coefficients; Testing the Difference Between Regression Coefficients; Chapter 5: Analysis of Variance; Theory of Analysis of Variance 327 $aThe Completely Randomized Design 330 $aThis statistics book is designed for use with the OpenStat statistics program, an open-source software developed by William Miller. This book and the corresponding free program covers a broad spectrum of statistical theory and techniques. OpenStat users are researchers and students in the social sciences, education, psychology, nursing and medicine who bene?t from the hands on approach to Statistics. During and upon completion of courses in Statistics or measurement, students and future researchers need a low cost computer program available to them, and OpenStat ?lls this void. The software is used in Statistics courses around the world with over 50,000 downloads per year. Also available is a user?s manual that covers applications of the OpenStat software, including measurement, ANOVA, regression analyses, simulation, product-moment and partial correlations, and logistic regression. This book and the companion User?s Manual are important learning tools that explain the statistics behind the many analyses possible with the program and demonstrate these analyses.  . 606 $aStatistics 606 $aSocial sciences$xStatistical methods 606 $aStatistics 606 $aStatistics 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aStatistical Theory and Methods 615 0$aStatistics. 615 0$aSocial sciences$xStatistical methods. 615 0$aStatistics. 615 14$aStatistics. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aStatistical Theory and Methods. 676 $a519.5 700 $aMiller$b William$050224 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438145503321 996 $aStatistics and Measurement Concepts with OpenStat$92517753 997 $aUNINA