Statistics for business and economics:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Upper Saddle River, NJ
Pearson/Prentice Hall
2005
|
| Ausgabe: | 9. ed., international ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXIII, 1173, 10, 9 S. Ill., graph. Darst. 1 CD-ROM (12 cm) |
| ISBN: | 0131246984 |
Internformat
MARC
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| 245 | 1 | 0 | |a Statistics for business and economics |c James T. McClave ; P. George Benson ; Terry Sincich |
| 250 | |a 9. ed., international ed. | ||
| 264 | 1 | |a Upper Saddle River, NJ |b Pearson/Prentice Hall |c 2005 | |
| 300 | |a XXIII, 1173, 10, 9 S. |b Ill., graph. Darst. |e 1 CD-ROM (12 cm) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 7 | |a Bedrijfsstatistiek |2 gtt | |
| 650 | 7 | |a Economische statistiek |2 gtt | |
| 650 | 7 | |a Méthode statistique |2 rasuqam | |
| 650 | 7 | |a Science économique |2 rasuqam | |
| 650 | 7 | |a Statistique commerciale |2 rasuqam | |
| 650 | 4 | |a Statistiques | |
| 650 | 4 | |a Statistiques commerciales | |
| 650 | 7 | |a Statistische methoden |2 gtt | |
| 650 | 4 | |a Économie politique - Méthodes statistiques | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Wirtschaft | |
| 650 | 4 | |a Commercial statistics | |
| 650 | 4 | |a Economics |x Statistical methods | |
| 650 | 4 | |a Statistics | |
| 650 | 0 | 7 | |a Wirtschaftsstatistik |0 (DE-588)4066517-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Wirtschaftswissenschaften |0 (DE-588)4066528-8 |2 gnd |9 rswk-swf |
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| 700 | 1 | |a Sincich, Terry |e Verfasser |0 (DE-588)170679349 |4 aut | |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-012816870 | |
Datensatz im Suchindex
| _version_ | 1811614755659448320 |
|---|---|
| adam_text |
Contents
Preface xiii
CHAPTER 1 Statistics, Data, and Statistical Thinking 2
1.1 The Science of Statistics 4
1.2 Types of Statistical Applications 5
1.3 Fundamental Elements of Statistics 7
1.4 Processes (Optional) 13
1.5 Types of Data 16
1.6 Collecting Data 18
1.7 The Role of Statistics in Managerial Decision
Making 21
A "20/20" View of Survey Results—Fact
or Fiction? 3
Using Technology: Creating and Listing Data in SPSS, MINITAB,
and EXCEL 30
CHAPTER 2 Methods for Describing Sets of Data 42
2.1 Describing Qualitative Data 44
2.2 Graphical Methods for Describing Quantitative
Data 55
2.3 Summation Notation 69
2.4 Numerical Measures of Central Tendency 70
2.5 Numerical Measures of Variability S()
2.6 Interpreting the Standard Deviation Sd
2.7 Numerical Measures of Relative Standing 95
2.8 Methods for Detecting Outliers (Optional) 99
2.9 Graphing Bivariate Relationships (Optional) 110
v
vi Contents
2.10 The Time Series Plot (Optional) 115
2.11 Distorting the Truth with Descriptive Techniques 118
Characteristics of Physicians Who Use or Refuse Ethics
Consultation 43
Using Technology: Describing Data Using SPSS, MINITAB,
and EXCEL/PHStat2 131
Applying Statistics to the Real World: The Kentucky Milk Case—Part I (A Case
Covering Chapters 1 and 2) 142
CHAPTERS Probability 144 3.1 Events, Sample Spaces, and Probability 146
3.2 Unions and Intersections 160
3.3 Complementary Events 164
3.4 The Additive Rule and Mutually Exclusive Events 165
3.5 Conditional Probability 172
3.6 The Multiplicative Rule and Independent Events 175
3.7 Random Sampling 187
3.8 Bayes's Rule (Optional) 190
Lotto Buster! 145
Using Technology: Generating a Random Sample Using SPSS, MINITAB,
and EXCEL/PHStat2 201
CHAPTER 4 Discrete Random Variables 208 „
4.1 Two Types of Random Variables 210
4.2 Probability Distributions for Discrete Random
Variables 213
4.3 Expected Values of Discrete Random Variables 217
4.4 The Binomial Random Variable 224
4.5 The Poisson Random Variable (Optional) 239
4.6 The Hypergeometric Random Variable (Optional) 246
Probability in a Reverse Cocaine
Sting 209
Using Technology: Binomial, Poisson, and Hypergeometric
Probabilities Using SPSS, MINITAB,
Contents vii
CHAPTER 5 Continuous Random Variables 260
5.1 Continuous Probability Distributions 262
5.2 The Uniform Distribution (Optional) 262
5.3 The Normal Distribution 267
5.4 Descriptive Methods for Assessing Normality 285
5.5 Approximating a Binomial Distribution with a Normal Distribution 293
5.6 The Exponential Distribution (Optional) 299
Super Weapons Development—Optimizing the Hit Ratio 261
Using Technology: Cumulative Probabilities and Normal Probability Plots Using
SPSS, MINITAB, and EXCEL/PHStat2 309
CHAPTER 6 Sampling Distributions 316
6.1 The Concept of Sampling Distributions 318
6.2 Properties of Sampling Distributions: Unbiasedness and Minimum
Variance (Optional) 325
6.3 The Sampling Distribution of V and the Central Limit Theorem 329
The Insomnia Pill 317
Using Technology: Simulating a Sampling Distribution Using MINITAB
and EXCEL/PHStat2 345
Applying Statistics to the Real World: The Furniture Fire Case (A Case Covering
Chapters 3 6) 349
CHAPTER 7 Inferences Based on a Single Sample: Estimation
with Confidence Intervals 350
7.1 Large Sample Confidence Interval for a Population Mean 352
7.2 Small Sample Confidence Interval fora Population Mean 3d I
7.3 Large Sample Confidence Interval tor a Population Proportion 374
7.4 Determining the Sample Si/e 383
7.5 finite Population Collection for Simple Random Sampling
(Optional) 390
7.6 Sample Survey Designs (Optional) 393
Scallops, Sampling, and the Law 351
Using Technology: Confidence Intervals Using SPSS, MINITAB,
and EXCEL/PHStat2 402
viii Contents
CHAPTER 8 Inferences Based on a Single Sample: Tests
of Hypothesis 410 _
8.1 The Elements of a Test of Hypothesis 412
8.2 Large Sample Test of Hypothesis about a Population Mean 419
8.3 Observed Significance Levels: /^ Values 426
8.4 Small Sample Test of Hypothesis about a Population Mean 434
8.5 Large Sample Test of Hypothesis about a Population Proportion 442
8.6 Calculating Type II Error Probabilities: More About /3 (Optional) 449
8.7 Test of Hypothesis about a Population Variance (Optional) 458
Statistics in Action: Diary of a Kleenex User 411
Using Technology: Tests of Hypotheses Using SPSS, MINITAB,
and EXCEL/PHStat2 469
CHAPTER 9 Inferences Based on Two Samples: Confidence
Intervals and Tests of Hypotheses 478 _
9.1 Comparing Two Population Means: Independent Sampling 480
9.2 Comparing Two Population Means: Paired Difference Experiments 499
9.3 Comparing Two Population Proportions: Independent Sampling 511
9.4 Determining the Sample Size 520
9.5 Comparing Two Population Variances: Independent Sampling 523
The Effect of Self Managed Work Teams on Family Life 479
Using Technology: Two Sample Inferences Using SPSS, MINITAB,
and EXCEL/PHStat2 542
Applying Statistics to the Real World: The Kentucky Milk Case—Part II (A Case
Covering Chapters 7 9) 553
CHAPTER 10 Design of Experiments and Analysis
of Variance 554 _
10.1 Elements of a Designed Experiment 556
10.2 The Completely Randomized Design 563
10.3 Multiple Comparisons of Means 583
10.4 The Randomized Block Design (Optional) 590
10.5 Factorial Experiments 606
Contents ix
The Ethics of Downsizing 555
Using Technology: Analysis of Variance Using SPSS, MINITAB,
and EXCEL/PHStat2 633
CHAPTER 11 Categorical Data Analysis 642
11.1 Categorical Data and the Multinomial Distribution 643
11.2 Testing Category Probabilities: One Way Table 645
11.3 Testing Category Probabilities: Two Way (Contingency) Table 655
11.4 A Word of Caution about Chi Square Tests 673
A Study of Coupon Users—Mail versus the Internet 643
Using Technology: Chi Square Analyses Using SPSS, MINITAB,
and EXCEL/PHStat2 680
Applying Statistics to the Real World: Discrimination in the Workplace (A Case
Covering Chapters 10 and 11) 688
CHAPTER 12 Simple Linear Regression 690
12.1 Probabilistic Models 692
12.2 Fitting the Model: The Least Squares Approach 6%
12.3 Model Assumptions 711
12.4 An Estimator of a2 713
12.5 Making Inferences about the Slope )31 717
12.6 The Coefficient of Correlation 726
12.7 The Coefficient of Determination 730
12.8 Using the Model for Estimation and Prediction 737
12.9 A Complete Example 746
Can "Dowsers" Really Detect Water? 691
Using Technology: Simple Linear Regression Using SPSS, MINITAB,
and EXCEL/PHStat2 759
CHAPTER 13 Multiple Regression and Model Building 766
13.1 Multiple Regression Models 768
13.2 The First Order Model: Estimating and Interpreting
the /3 Parameters 769
13.3 Model Assumptions 775
13.4 Inferences about the Individual ^ Parameters 777
13.5 Checking the Overall Utility of a Model 788
13.6 Using the Model for Estimation and Prediction 798
13.7 Model Building: Interaction Models 804
13.8 Model Building: Quadratic and other Higher Order Models 813
13.9 Model Building: Qualitative (Dummy) Variable Models 825
13.10 Model Building: Models with both Quantitative and Qualitative
Variables (Optional) 832
13.11 Model Building: Comparing Nested Models (Optional) 843
13.12 Model Building: Stepwise Regression (Optional) 852
13.13 Residual Analysis: Checking the Regression Assumptions 861
13.14 Some Pitfalls: Estimability, Multicollinearity, and Extrapolation 880
Statistics in Action: Bid Rigging in the Highway construction Industry 767
Using Technology: Multiple Regression Using SPSS, MINITAB,
and EXCEL/PHStat2 903
Applying Statistics to the Real World: The Condo Sales Case (A Case Covering
Chapters 12 and 13) 910
CHAPTER 14 _ JMethodsjbr^^
14.1 Quality, Processes, and Systems 914
14.2 Statistical Control 920
14.3 The Logic of Control Charts 928
14.4 A Control Chart for Monitoring the Mean
of a Process: The J Chart 934
14.5 A Control Chart for Monitoring the Variation
of a Process: The /? Chart 952
14.6 A Control Chart for Monitoring the Proportion of Defectives
Generated by a Process: The p Chart 963
14.7 Diagnosing the Causes of Variation (Optional) 972
14.8 Capability Analysis (Optional) 975
« ' r s1 Testing Jet Fuel Additive for Safety 913
Using Technology: Control Charts Using SPSS, MINITAB,
and EXCEL/PHStat2 989
CHAPTER 15 Time Series: Descriptive Analyses, Models,
and Forecasting 996 15.1 Descriptive Analysis: Index Numbers 998
15.2 Descriptive Analysis: Exponential Smoothing 1010
15.3 Time Series Components 1016
15.4 Forecasting: Exponential Smoothing 1017
15.5 Forecasting Trends: The Holt Winters Model (Optional) 1021
15.6 Measuring Forecast Accuracy: MAD and RMSE 1026
15.7 Forecasting Trends: Simple Linear Regression 1033
15.8 Seasonal Regression Models 1038
15.9 Autocorrelation and the Durbin Watson Test 1044
Statistics in Action: Forecasting the Monthly Sales of a New Cold Medicine 997
Using Technology: Forecasting Using SPSS, MINITAB, and EXCEL/PHStat2 1057
Applying Statistics to the Real World: The Casket Manufacturing Case (A Case
Covering Chapters 14 and 15) 1064
CHAPTER 16 Nonparametric Statistics 1068 16.1 Introduction: Distribution Free Tests 1070
16.2 Single Population Inferences: The Sign Test 1071
16.3 Comparing Two Populations: The Wilcoxon Rank Sum Test
for Independent Samples 1078
16.4 Comparing Two Populations: The Wilcoxon Signed Rank Test
for the Paired Difference Experiment 1087
16.5 The Kruskal Wallis H Test for a Completely Randomized Design 1095
16.6 The Friedman Fr Test for a Randomized Block Design (Optional) 1102
16.7 Spearman's Rank Correlation Coefficient 1109
^i.tiisiic i Actior Deadly Exposure—Agent Orange and Vietnam Vets 1069
Using Technology: Nonparametric Analyses Using SPSS, MINITAB,
and EXCEL/PHStat2 1124
Appendix A Basic Counting Rules 1136
Appendix B Tables 1139
Random Numbers 1140
Binomial Probabilities 1143
Poisson Probabilities 1147
Normal Curve Areas 1152
Exponentials 1153
Critical Values of t 1154
Critical Values of \2 1155
Percentage Points of the F Distribution, a = .10 1157
Percentage Points of the F Distribution, a = .05 1159
Percentage Points of the F Distribution, a = .025 1161
Percentage Points of the F Distribution, a = .01 1163
Control Chart Constants 1165
Critical Values for the Durbin Watson d Statistic,
a = .05 1166
Critical Values for the Durbin Watson d Statistic,
a = .01 1167
Critical Values of TL and Tv for the Wilcoxon Rank
Sum Test: Independent Samples 1168
Critical Values of To in the Wilcoxon Paired Difference
Signed Rank Test 1169
Critical Values of Spearman's Rank Correlation
Coefficient 1170
Appendix C Calculation Formulas for Analysis of Variance 1171
Short Answers to Selected Odd Numbered
Exercises A 1
Index 1 1
Photo Credits P l |
| any_adam_object | 1 |
| author | McClave, James T. Benson, Paul George 1946- Sincich, Terry |
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| edition | 9. ed., international ed. |
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| spelling | McClave, James T. Verfasser (DE-588)124994865 aut Statistics for business and economics James T. McClave ; P. George Benson ; Terry Sincich 9. ed., international ed. Upper Saddle River, NJ Pearson/Prentice Hall 2005 XXIII, 1173, 10, 9 S. Ill., graph. Darst. 1 CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier Bedrijfsstatistiek gtt Economische statistiek gtt Méthode statistique rasuqam Science économique rasuqam Statistique commerciale rasuqam Statistiques Statistiques commerciales Statistische methoden gtt Économie politique - Méthodes statistiques Statistik Wirtschaft Commercial statistics Economics Statistical methods Statistics Wirtschaftsstatistik (DE-588)4066517-3 gnd rswk-swf Wirtschaftswissenschaften (DE-588)4066528-8 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Wirtschaftsstatistik (DE-588)4066517-3 s DE-604 Statistik (DE-588)4056995-0 s Wirtschaftswissenschaften (DE-588)4066528-8 s Benson, Paul George 1946- Verfasser (DE-588)124690939 aut Sincich, Terry Verfasser (DE-588)170679349 aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=012816870&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | McClave, James T. Benson, Paul George 1946- Sincich, Terry Statistics for business and economics Bedrijfsstatistiek gtt Economische statistiek gtt Méthode statistique rasuqam Science économique rasuqam Statistique commerciale rasuqam Statistiques Statistiques commerciales Statistische methoden gtt Économie politique - Méthodes statistiques Statistik Wirtschaft Commercial statistics Economics Statistical methods Statistics Wirtschaftsstatistik (DE-588)4066517-3 gnd Wirtschaftswissenschaften (DE-588)4066528-8 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4066517-3 (DE-588)4066528-8 (DE-588)4056995-0 (DE-588)4151278-9 |
| title | Statistics for business and economics |
| title_auth | Statistics for business and economics |
| title_exact_search | Statistics for business and economics |
| title_full | Statistics for business and economics James T. McClave ; P. George Benson ; Terry Sincich |
| title_fullStr | Statistics for business and economics James T. McClave ; P. George Benson ; Terry Sincich |
| title_full_unstemmed | Statistics for business and economics James T. McClave ; P. George Benson ; Terry Sincich |
| title_short | Statistics for business and economics |
| title_sort | statistics for business and economics |
| topic | Bedrijfsstatistiek gtt Economische statistiek gtt Méthode statistique rasuqam Science économique rasuqam Statistique commerciale rasuqam Statistiques Statistiques commerciales Statistische methoden gtt Économie politique - Méthodes statistiques Statistik Wirtschaft Commercial statistics Economics Statistical methods Statistics Wirtschaftsstatistik (DE-588)4066517-3 gnd Wirtschaftswissenschaften (DE-588)4066528-8 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Bedrijfsstatistiek Economische statistiek Méthode statistique Science économique Statistique commerciale Statistiques Statistiques commerciales Statistische methoden Économie politique - Méthodes statistiques Statistik Wirtschaft Commercial statistics Economics Statistical methods Statistics Wirtschaftsstatistik Wirtschaftswissenschaften Einführung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=012816870&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT mcclavejamest statisticsforbusinessandeconomics AT bensonpaulgeorge statisticsforbusinessandeconomics AT sincichterry statisticsforbusinessandeconomics |