Applied statistics and multivariate data analysis for business and economics: a modern approach using SPSS, Stata, and Excel
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2019]
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031460823&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031460823&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| Beschreibung: | Auf dem Umschlag: Extras online |
| Umfang: | xxiii, 474 Seiten Illustrationen, Diagramme |
| ISBN: | 9783030177669 9783030177690 3030177661 |
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Datensatz im Suchindex
| _version_ | 1819342597735317504 |
|---|---|
| adam_text | 1 Statistics and Empirical Research.......................................................... 1.1 Do Statistics Lie?........................................................................... 1.2 Different Types of Statistics.......................................................... 1.3 The Generation of Knowledge Through Statistics........................ 1.4 The Phases of Empirical Research................................................. 1.4.1 From Exploration to Theory........................................... 1.4.2 From Theories to Models................................................ 1.4.3 From Models to Business Intelligence........................... References.................................................................................................... 1 1 3 6 7 8 9 13 14 2 From Disarray to Dataset......................................................................... 2.1 Data Collection.............................................................................. 2.2 Level of Measurement................................................................... 2.3 Scaling and Coding........................................................................ 2.4 Missing Values............................................................................... 2.5 Outliers and Obviously IncorrectValues....................................... 2.6 Chapter Exercises........................................................................... 2.7 Exercise Solutions..........................................................................
References.................................................................................................... 15 15 17 20 22 24 24 25 25 3 Univariate Data Analysis.......................................................................... 3.1 First Steps in Data Analysis.......................................................... 3.2 Measures of Central Tendency..................................................... 3.2.1 Mode or Modal Value..................................................... 3.2.2 Mean................................................................................ 3.2.3 Geometric Mean.............................................................. 3.2.4 Harmonic Mean............................................................... 3.2.5 The Median...................................................................... 3.2.6 Quartile and Percentile.................................................... 3.3 The Boxplot: A First Look at Distributions................................. 3.4 Dispersion Parameters................................................................... 3.4.1 Standard Deviation and Variance................................... 3.4.2 The Coefficient of Variation........................................... 3.5 Skewness and Kurtosis.................................................................. 3.6 Robustness of Parameters.............................................................. 27 27 33 34 34 39 40 43 45 47 49 50 53 54 56 vii
Contents viii 4 3.7 3.8 Measures of Concentration........................................................... Using the Computer to Calculate Univariate Parameters............ 3.8.1 Calculating Univariate Parameters with SPSS.............. 3.8.2 Calculating Univariate Parameters with Stata............... 3.8.3 Calculating Univariate Parameters with Excel.............. 3.9 Chapter Exercises.......................................................................... 3.10 Exercise Solutions......................................................................... References................................................................................................... 57 60 60 61 62 63 66 70 Bivariate Association................................................................................ 4.1 Bivariate Scale Combinations....................................................... 4.2 Association Between Two Nominal Variables............................ 4.2.1 Contingency Tables........................................................ 4.2.2 Chi-Square Calculations................................................. 4.2.3 The Phi Coefficient......................................................... 4.2.4 The Contingency Coefficient......................................... 4.2.5 Cramer’s V...................................................................... 4.2.6 Nominal Associations with SPSS.................................. 4.2.7 Nominal Associations with Stata................................... 4.2.8 Nominal Associations with Excel.................................. 4.3 Association
Between Two Metric Variables............................... 4.3.1 The Scatterplot................................................................ 4.3.2 The Bravais-Pearson Correlation Coefficient............... 4.4 Relationships Between Ordinal Variables................................... 4.4.1 Spearman’s Rank Correlation Coefficient (Spearman’s Rho)........................................................... 4.4.2 Kendall’s Tau (r)............................................................ 4.5 Measuring the Association Between TwoVariables with Different Scales..................................................................... 4.5.1 Measuring the Association Between Nominal and Metric Variables...................................................... 4.5.2 Measuring the Association Between Nominal and Ordinal Variables..................................................... 4.5.3 Association Between Ordinal and Metric Variables......................................................................... 4.6 Calculating Correlation with a Computer.................................... 4.6.1 Calculating Correlation with SPSS................................ 4.6.2 Calculating Correlation with Stata................................. 4.6.3 Calculating Correlation with Excel................................ 4.7 Spurious Correlations.................................................................... 4.7.1 Partial Correlation........................................................... 4.7.2 Partial Correlations with SPSS....................................... 4.7.3 Partial Correlations with
Stata........................................ 4.7.4 Partial Correlation with Excel........................................ 4.8 Chapter Exercises.......................................................................... 71 71 71 71 73 77 79 81 82 83 86 87 87 90 94 95 100 105 106 108 108 110 110 110 112 114 115 117 117 119 119
Contents ¡X 4.9 Exercise Solutions.......................................................................... References.................................................................................................... 125 129 5 Classical Measurement Theory............................................................... 5.1 Sources of Sampling Errors.......................................................... 5.2 Sources of Nonsampling Errors.................................................... References................................................................................................... 131 132 135 137 6 Calculating Probability............................................................................. 6.1 Key Terms for CalculatingProbability.......................................... 6.2 Probability Definitions................................................................... 6.3 Foundations of ProbabilityCalculus.............................................. 6.3.1 Probability Tree............................................................... 6.3.2 Combinatorics................................................................. 6.3.3 The Inclusion-Exclusion Principle for Disjoint Events............................................................................... 6.3.4 Inclusion-Exclusion Principle for Nondisjoint Events............................................................................... 6.3.5 Conditional Probability................................................... 6.3.6 Independent Events and Law of Multiplication............ 6.3.7 Law of Total
Probability................................................. 6.3.8 Bayes’Theorem.............................................................. 6.3.9 Postscript: The Monty Hall Problem............................. 6.4 Chapter Exercises.......................................................................... 6.5 Exercise Solutions......................................................................... References.................................................................................................... 139 140 141 145 145 146 Random Variables andProbability Distributions................................. 7.1 Discrete Distributions.................................................................... 7.1.1 Binomial Distribution..................................................... 7.1.1.1 Calculating Binomial Distributions Using Excel...................................................... 7.1.1.2 Calculating Binomial Distributions Using Stata....................................................... 7.1.2 Hypergeometric Distribution.......................................... 7.1.2.1 Calculating Hypergeometric Distributions Using Excel...................................................... 7.1.2.2 Calculating the Hypergeometric Distribution Using Stata....................................................... 7.1.3 The Poisson Distribution................................................ 7.1.3.1 Calculating the Poisson Distribution Using Excel...................................................... 7.1.3.2 Calculating the Poisson Distribution Using
Stata....................................................... 7.2 Continuous Distributions............................................................... 7.2.1 The Continuous Uniform Distribution............................ 171 173 173 7 150 152 153 154 154 155 157 159 163 169 176 176 177 181 181 182 184 184 185 187
x Contents 7.2.2 The Normal Distribution................................................. 190 7.2.2.1 Calculating the Normal Distribution Using Excel...................................................... 197 7.2.2.2 Calculating the Normal Distribution Using Stata....................................................... 198 7.3 Important Distributions for Testing.............................................. 199 7.3.1 The Chi-Squared Distribution........................................ 199 7.3.1.1 Calculating the Chi-Squared Distribution Using Excel...................................................... 201 7.3.1.2 Calculating the Chi-Squared Distribution Using Stata....................................................... 201 7.3.2 The i-Distribution............................................................ 202 7.3.2.1 Calculating thei-Distribution Using Excel... . 204 7.3.2.2 Calculating theŕ-Distribution Using Stata. . . . 205 7.3.3 The F-Distribution........................................................... 205 7.3.3.1 Calculating the F-Distribution Using Excel................................................................. 206 7.3.3.2 Calculating the F-Distribution Using Stata.................................................................. 208 7.4 Chapter Exercises........................................................................... 208 7.5 Exercise Solutions.......................................................................... 212 References.................................................................................................... 222 8 Parameter
Estimation................................................................................ 8.1 Point Estimation............................................................................. 8.2 Interval Estimation......................................................................... 8.2.1 The Confidence Interval for the Mean of a Population (μ).......................................................... 8.2.2 Planning the Sample Size for Mean Estimation............ 8.2.3 Confidence Intervals for Proportions............................. 8.2.4 Planning Sample Sizes for Proportions......................... 8.2.5 The Confidence Interval for Variances.......................... 8.2.6 Calculating Confidence Intervals with the Computer........................................................... 8.2.6.1 Calculating Confidence Intervals with Excel........................................................ 8.2.6.2 Calculating Confidence Intervals with SPSS........................................................ 8.2.6.3 Calculating Confidence Intervals with Stata......................................................... 8.3 Chapter Exercises.......................................................................... 8.4 Exercise Solutions......................................................................... References................................................................................................... 223 223 230 230 236 239 240 241 243 243 245 247 250 252 256
Contents 9 Hypothesis Testing...................................................................................... 9.1 Fundamentals of Hypothesis Testing........................................... 9.2 One-Sample Tests.......................................................................... 9.2.1 One-Sample Z-Test (When σ Is Known)....................... 9.2.2 One-Sample f-Test (When a Is Not Known)................ 9.2.3 Probability Value (p-Value)........................................... 9.2.4 One-Sample i-Test with SPSS, Stata, and Excel........... 9.3 Tests for Two Dependent Samples............................................... 9.3.1 The i-Test for Dependent Samples................................ 9.3.1.1 The Paired i-Test with SPSS.......................... 9.3.1.2 The Paired i-Test with Stata........................... 9.3.1.3 The Paired i-Test with Excel.......................... 9.3.2 The Wilcoxon Signed-Rank Test................................... 9.3.2.1 The Wilcoxon Signed-Rank Test with SPSS........................................................ 9.3.2.2 The Wilcoxon Signed-Rank Test with Stata......................................................... 9.3.2.3 The Wilcoxon Signed-Rank Test with Excel........................................................ 9.4 Tests for Two Independent Samples............................................ 9.4.1 The i-Test of Two Independent Samples....................... 9.4.1.1 The i-Test for Two Independent Samples with SPSS......................................................... 9.4.1.2 The i-Test for Two Independent Samples
with Stata......................................................... 9.4.1.3 The i-Test for Two Independent Samples with Excel........................................................ 9.4.2 The Mann-Whitney U Test (Wilcoxon Rank-Sum Test)................................................................................. 9.4.2.1 The Mann-Whitney U Test with SPSS.......... 9.4.2.2 The Mann-Whitney U Test with Stata.......... 9.5 Tests for к Independent Samples.................................................. 9.5.1 Analysis of Variance (ANOVA).................................... 9.5.1.1 One-Way Analysis of Variance (ANOVA)........................................................ 9.5.1.2 Two-Way Analysis of Variance (ANOVA)........................................................ 9.5.1.3 Analysis of Covariance (ANCOVA).............. 9.5.1.4 ANO VA/ANCO VA with SPSS...................... 9.5.1.5 ANOVA/ANCOVA with Stata....................... 9.5.1.6 ANOVA with Excel........................................ 9.5.2 Kruskal-Wallis Test (H Test)......................................... 9.5.2.1 Kruskal-Wallis H Test with SPSS.................. 9.5.2.2 Kruskal-Wallis H Test with Stata................... 9.6 Other Tests...................................................................................... XI 257 257 261 261 266 268 269 271 271 275 275 278 278 282 283 283 285 285 288 288 290 292 296 296 298 298 299 302 306 309 309 309 310 316 316 317
xii Contents 9.6.1 Chi-Square Test of Independence.................................. 9.6.1.1 Chi-Square Test of Independence with SPSS......................................................... 9.6.1.2 Chi-Square Test of Independence with Stata.......................................................... 9.6.1.3 Chi-Square Test of Independence with Excel......................................................... 9.6.2 Tests for Normal Distribution......................................... 9.6.2.1 Testing for Normal Distribution with SPSS......................................................... 9.6.2.2 Testing for Normal Distribution with Stata.......................................................... 9.7 Chapter Exercises........................................................................... 9.8 Exercise Solutions.......................................................................... References.................................................................................................... 317 320 322 322 324 325 326 326 335 350 10 Regression Analysis................................................................................... 10.1 First Steps in Regression Analysis................................................ 10.2 Coefficients of Bivariate Regression............................................. 10.3 Multivariate Regression Coefficients............................................ 10.4 The Goodness of Fit of Regression Lines.................................... 10.5 Regression Calculations with the Computer................................ 10.5.1 Regression
Calculations with Excel............................... 10.5.2 Regression Calculations with SPSS and Stata............... 10.6 Goodness of Fit of Multivariate Regressions............................... 10.7 Regression with an Independent Dummy Variable..................... 10.8 Leverage Effects of Data Points.................................................... 10.9 Nonlinear Regressions................................................................... 10.10 Approaches to Regression Diagnostics........................................ 10.11 Chapter Exercises........................................................................... 10.12 Exercise Solutions.......................................................................... References.................................................................................................... 353 353 355 359 361 363 363 364 366 367 369 370 373 379 384 387 11 Time Series and Indices............................................................................ 11.1 Price Indices................................................................................... 11.2 Quantity Indices............................................................................... 11.3 Value Indices (Sales Indices).......................................................... 11.4 Deflating Time Series by Price Indices.......................................... 11.5 Shifting Bases and Chaining Indices.............................................. 11.6 Chapter Exercises........................................................................... 11.7 Exercise
Solutions........................................................................... References.................................................................................................... 389 390 397 398 399 400 401 403 405 12 Cluster Analysis......................................................................................... 12.1 Hierarchical Cluster Analysis........................................................ 12.2 К-Means Cluster Analysis............................................................. 12.3 Cluster Analysis with SPSS and Stata.......................................... 407 408 423 424
Contents xiii 12.4 Chapter Exercises........................................................................... 12.5 Exercise Solutions......................................................................... References.................................................................................................... 425 428 431 Factor Analysis.......................................................................................... 13.1 Factor Analysis: Foundations, Methods, and Interpretations......................................................................... 13.2 Factor Analysis with SPSS and Stata............................................ 13.3 Chapter Exercises.......................................................................... 13.4 Exercise Solutions......................................................................... References.................................................................................................... 433 List of Formulas................................................................................................. 447 Appendices.......................................................................................................... 463 Index.................................................................................................................... 469 13 433 441 441 445 446
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| publisher | Springer |
| record_format | marc |
| spellingShingle | Cleff, Thomas 1966- Applied statistics and multivariate data analysis for business and economics a modern approach using SPSS, Stata, and Excel SPSS (DE-588)4056588-9 gnd Stata (DE-588)4617285-3 gnd EXCEL (DE-588)4138932-3 gnd Anwendung (DE-588)4196864-5 gnd Wirtschaftswissenschaften (DE-588)4066528-8 gnd Statistik (DE-588)4056995-0 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| subject_GND | (DE-588)4056588-9 (DE-588)4617285-3 (DE-588)4138932-3 (DE-588)4196864-5 (DE-588)4066528-8 (DE-588)4056995-0 (DE-588)4040708-1 (DE-588)4123623-3 |
| title | Applied statistics and multivariate data analysis for business and economics a modern approach using SPSS, Stata, and Excel |
| title_auth | Applied statistics and multivariate data analysis for business and economics a modern approach using SPSS, Stata, and Excel |
| title_exact_search | Applied statistics and multivariate data analysis for business and economics a modern approach using SPSS, Stata, and Excel |
| title_full | Applied statistics and multivariate data analysis for business and economics a modern approach using SPSS, Stata, and Excel Thomas Cleff |
| title_fullStr | Applied statistics and multivariate data analysis for business and economics a modern approach using SPSS, Stata, and Excel Thomas Cleff |
| title_full_unstemmed | Applied statistics and multivariate data analysis for business and economics a modern approach using SPSS, Stata, and Excel Thomas Cleff |
| title_short | Applied statistics and multivariate data analysis for business and economics |
| title_sort | applied statistics and multivariate data analysis for business and economics a modern approach using spss stata and excel |
| title_sub | a modern approach using SPSS, Stata, and Excel |
| topic | SPSS (DE-588)4056588-9 gnd Stata (DE-588)4617285-3 gnd EXCEL (DE-588)4138932-3 gnd Anwendung (DE-588)4196864-5 gnd Wirtschaftswissenschaften (DE-588)4066528-8 gnd Statistik (DE-588)4056995-0 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| topic_facet | SPSS Stata EXCEL Anwendung Wirtschaftswissenschaften Statistik Multivariate Analyse Lehrbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031460823&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031460823&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT cleffthomas appliedstatisticsandmultivariatedataanalysisforbusinessandeconomicsamodernapproachusingspssstataandexcel |