Der eCommerce Vertrag schließt jedoch Waren Digitale Produkte Gutschein damit Websites schneller geladen werden können. Gestaffelte Versandkosten werden für differente Gewichtsklassen sowie für bestimmte Zielgebiete erfasst SmartphonesTablets Aus diesem Grund gebenviele Onlinehändler die Arbeit an professionelle Fachleute ab So lassen sich bequem mehrere Shops aus einem Backend verwalten Plastiktüte 538 537Index Test Signed-Rank Wilcoxon the for Values Critical 4: 536Appendix t-Distribution Student's The 3: 534Appendix Distribution Chi-Squared The 2: 533Appendix Distribution Normal Standard The 1: 532Appendix 520Appendix Formulas of 519List 518References Solutions Exercise 51713.4 Exercises Chapter 51413.3 Stata and SPSS with Analysis Factor 50513.2 Interpretations Methods, Foundations, Analysis: Factor 50513.1 Analysis Factor 50313 502References Solutions Exercise 49912.5 Exercises Chapter 49512.4 Stata and SPSS with Analysis Cluster 49312.3 Analysis Cluster K-Means 47712.2 Analysis Cluster Hierarchical 47612.1 Analysis Cluster 47512 473References Solutions Exercise 47211.7 Exercises Chapter 47011.6 Indices Chaining and Bases Shifting 46911.5 Indices Price by Series Time Deflating 46811.4 Indices) (Sales Indices Value 46611.3 Indices Quantity 45911.2 Indices Price 45811.1 Indices and Series Time 45711 454References Solutions Exercise 44710.12 Exercises Chapter 44110.11 Diagnostics Regression to Approaches 43710.10 Regressions Nonlinear 43510.9 Points Data of Effects Leverage 43310.8 Variable Dummy Independent an with Regression 43210.7 Regressions Multivariate of Fit of Goodness 43010.6 Stata and SPSS with Calculations Regression 42910.5.2 Excel with Calculations Regression 42910.5.1 Computer the with Calculations Regression 42610.5 Lines Regression of Fit of Goodness The 42510.4 Coefficients Regression Multivariate 42010.3 Regression Bivariate of Coefficients 41810.2 Analysis Regression in Steps First 41810.1 Analysis Regression 41510 400References Solutions Exercise 3899.8 Exercises Chapter 3899.7 Stata with distribution normal for Testing 3889.6.2.2 SPSS with distribution normal for Testing 3869.6.2.1 distribution normal for Tests 3849.6.2 Excel with Independence of Test Chi-Square 3849.6.1.3 Stata with Independence of Test Chi-Square 3819.6.1.2 SPSS with independence of test Chi-square 3799.6.1.1 independence of test Chi-square 3799.6.1 Tests Other 3789.6 Stata with Test H Kruskal-Wallis 3769.5.2.2 SPSS with Test H Kruskal-Wallis 3719.5.2.1 test) (H test Kruskal-Wallis 3699.5.2 Excel with ANOVA 3689.5.1.6 Stata with ANOVA/ANCOVA 3679.5.1.5 SPSS with ANOVA/ANCOVA 3649.5.1.4 (ANCOVA) covariance of Analysis 3609.5.1.3 (ANOVA) Variance of Analysis Two-way 3559.5.1.2 (ANOVA) Variance of Analysis One-way 3549.5.1.1 (ANOVA) Variance of Analysis 3549.5.1 samples independent k for Tests 3539.5 Stata with test U Mann-Whitney The 3529.4.2.2 SPSS with test U Mann-Whitney The 3489.4.2.1 test) rank-sum (Wilcoxon test U Mann-Whitney The 3469.4.2 Excel with samples independent two for t-test The 3459.4.1.3 Stata with samples independent two for t-test The 3439.4.1.2 SPSS with samples independent two for t-test The 3409.4.1.1 samples independent two of t-test The 3409.4.1 samples independent two for Tests 3399.4 Excel with test signed-rank Wilcoxon The 3389.3.2.3 Stata with test signed-rank Wilcoxon The 3379.3.2.2 SPSS with test signed-rank Wilcoxon The 3329.3.2.1 test signed-rank Wilcoxon The 3319.3.2 Excel with t-test paired The 3299.3.1.3 Stata with t-test paired The 3289.3.1.2 SPSS with t-test paired The 3239.3.1.1 samples dependent for t-test The 3239.3.1 samples dependent two for Tests 3199.3 Excel and Stata, SPSS, with t-test One-sample 3199.2.4 (p-value) value Probability 3169.2.3 known) not is s (when t-test One-sample 3129.2.2 known) is s (when Z-test One-sample 3129.2.1 Tests One-Sample 3079.2 Testing Hypothesis of Fundamentals 3079.1 Testing Hypothesis 3069 303References Solutions Exercise 3018.4 Exercises Chapter 2978.3 Stata with intervals confidence Calculating 2968.2.6.3 SPSS with intervals confidence Calculating 2928.2.6.2 Excel with intervals confidence Calculating 2928.2.6.1 computer the with intervals confidence Calculating 2918.2.6 variances for interval confidence The 2908.2.5 proportions for sizes sample Planning 2878.2.4 proportions for intervals Confidence 2848.2.3 estimation mean for size sample the Planning 2778.2.2 (m) population a of mean the for interval confidence The 2778.2.1 estimation Interval 2698.2 estimation Point 2698.1 Estimation Parameter 2688 258References Solutions Exercise 2547.5 Exercises Chapter 2537.4 Stata using F-Distribution the Calculating 2527.3.3.2 Excel using F-Distribution the Calculating 2517.3.3.1 F-distribution The 2507.3.3 Stata using t-Distribution the Calculating 2497.3.2.2 Excel using t-Distribution the Calculating 2477.3.2.1 t-Distribution The 2467.3.2 Stata using Distribution Chi-Squared the Calculating 2457.3.1.2 Excel using Distribution Chi-Squared the Calculating 2437.3.1.1 Distribution Chi-Squared The 2437.3.1 Testing for Distributions Important 2427.3 Stata using Distribution Normal the Calculating 2417.2.2.2 Excel using Distribution Normal the Calculating 2317.2.2.1 Distribution Normal The 2287.2.2 Distribution Uniform Continuous The 2267.2.1 Distributions Continuous 2257.2 Stata using Distribution Poisson the Calculating 2247.1.3.2 Excel using Distribution Poisson the Calculating 2227.1.3.1 Distribution Poisson The 2217.1.3 Stata using Distribution Hypergeometric the Calculating 2207.1.2.2 Excel using Distributions Hypergeometric Calculating 2177.1.2.1 Distribution Hypergeometric 2167.1.2 Stata using Distributions Binomial Calculating 2157.1.1.2 Excel using Distributions Binomial Calculating 2127.1.1.1 Distribution Binomial 2127.1.1 Distributions Discrete 2107.1 Distributions Probability and Variables Random 2097 200References Solutions Exercise 1976.5 Exercises Chapter 1936.4 Problem Hall Monty The Postscript: 1926.3.9 Theorem Bayes' 1916.3.8 Probability Total of Law 1906.3.7 Multiplication of Law and Events Independent 1896.3.6 Probability Conditional 1886.3.5 Events Nondisjoint for Principle Inclusion-Exclusion 1876.3.4 Events Disjoint for Principle Inclusion-Exclusion The 1816.3.3 Combinatorics 1806.3.2 Tree Probability 1806.3.1 Calculus Probability of Foundations 1766.3 Definitions Probability 1736.2 Probability Calculating for Terms Key 1736.1 Probability Calculating 1726 169References Errors Nonsampling of Sources 1665.2 Errors Sampling of Sources 1655.1 Theory Measurement Classical 1645 158References Solutions Exercise 1524.9 Exercises Chapter 1514.8 Excel with Correlation Partial 1504.7.4 Stata with Correlations Partial 1494.7.3 SPSS with Correlations Partial 1484.7.2 Correlation Partial 1464.7.1 Correlations Spurious 1434.7 Excel with Correlation Calculating 1424.6.3 Stata with Correlation Calculating 1414.6.2 SPSS with Correlation Calculating 1414.6.1 Computer a with Correlation Calculating 1394.6 variables Metric and Ordinal between Association 1384.5.3 Variables Ordinal and Nominal Between Association the Measuring 1354.5.2 Variables Metric and Nominal Between Association the Measuring 1354.5.1 Scales Different with Variables Two Between Association the Measuring 1284.5 (t) Tau Kendall's 1234.4.2 rho) (Spearman's Coefficient Correlation Rank Spearman's 1214.4.1 Variables Ordinal Between Relationships 1174.4 Coefficient Correlation Bravais-Pearson The 1144.3.2 Scatterplot The 1144.3.1 Variables Metric Two Between Association 1124.3 Excel with Associations Nominal 1124.2.8 Stata with Associations Nominal 1074.2.7 SPSS with Associations Nominal 1074.2.6 V Cramer's 1054.2.5 Coefficient Contingency The 1024.2.4 Coefficient Phi The 974.2.3 Calculations Chi-Square 954.2.2 Tables Contingency 954.2.1 Variables Nominal Two Between Association 944.2 Combinations Scale Bivariate 944.1 Association Bivariate 934 89References Solutions Exercise 863.10 Exercises Chapter 853.9 Excel with Parameters Univariate Calculating 843.8.3 Stata with Parameters Univariate Calculating 833.8.2 SPSS with Parameters Univariate Calculating 833.8.1 Parameters Univariate Calculate to Computer the Using 803.8 Concentration of Measures 793.7 Parameters of Robustness 763.6 Kurtosis and Skewness 753.5 Variation of Coefficient The 733.4.2 Variance and Deviation Standard 723.4.1 Parameters Dispersion 683.4 Distributions at Look First A Boxplot: The 673.3 Percentile and Quartile 643.2.6 Median The 613.2.5 Mean Harmonic 603.2.4 Mean Geometric 553.2.3 Mean 543.2.2 Value Modal or Mode 543.2.1 Tendency Central of Measures 463.2 Analysis Data in Steps First 463.1 Analysis Data Univariate 453 44References Solutions Exercise 432.7 Exercises Chapter 432.6 Values Incorrect Obviously and Outliers 412.5 Values Missing 392.4 Coding and Scaling 352.3 Measurement of Level 342.2 Collection Data 342.1 Dataset to Disarray From 332 31References Intelligence Business to Models From 271.4.3 Models to Theories From 261.4.2 Theory to Exploration From 261.4.1 Research Empirical of Phases The 241.4 Statistics Through Knowledge of Generation The 211.3 Statistics of Types Different 191.2 Lie? Statistics Do 191.1 Research Empirical and Statistics 181 Tables of 11List Figures of 2List ContentsPreface Die Liste erhebt natürlich keinen Anspruch auf Vollständigkeit Preis Apps und andere Angebote Call to Actions sind im Grunde für alle Varianten des öffentlichen Auftritts Das einfache Ausfüllen der Formulare oder Scrollen sollte sowohl auf kleinen
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