Statistics for business and economics:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cincinnati u.a.
South Western College Publ.
1999
|
| Ausgabe: | 7. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Getr. Zählung graph. Darst. 1 CD-ROM (12 cm) + 2 Disketten (9 cm) |
| ISBN: | 0538875933 |
Internformat
MARC
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| 100 | 1 | |a Anderson, David R. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Statistics for business and economics |c David R. Anderson ; Dennis J. Sweeney ; Thomas A. Williams |
| 250 | |a 7. ed. | ||
| 264 | 1 | |a Cincinnati u.a. |b South Western College Publ. |c 1999 | |
| 300 | |a Getr. Zählung |b graph. Darst. |e 1 CD-ROM (12 cm) + 2 Disketten (9 cm) | ||
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| 650 | 7 | |a Administração (métodos estatísticos) |2 larpcal | |
| 650 | 7 | |a Bedrijfsstatistiek |2 gtt | |
| 650 | 7 | |a Economia (administração;economia) |2 larpcal | |
| 650 | 7 | |a Statistique commerciale |2 ram | |
| 650 | 7 | |a Statistische methoden |2 gtt | |
| 650 | 7 | |a Économie politique - Méthodes statistiques |2 ram | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Wirtschaft | |
| 650 | 4 | |a Commercial statistics |x Methodology | |
| 650 | 4 | |a Economics |x Statistical methods | |
| 650 | 4 | |a Statistics | |
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| 700 | 1 | |a Sweeney, Dennis J. |e Verfasser |4 aut | |
| 700 | 1 | |a Williams, Thomas A. |d 1931- |e Verfasser |0 (DE-588)12127795X |4 aut | |
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Datensatz im Suchindex
| _version_ | 1804127987304497152 |
|---|---|
| adam_text | Preface xxiii
About the Authors xxix
Chapter i Data and Statistics 1
Chapter 2 Descriptive Statistics I: Tabular and Graphical
Methods 23
Chapter 3 Descriptive Statistics II: Numerical Methods 63
Chapter 4 Introduction to Probability 125
Chapter 5 Discrete Probability Distributions 173
Chapter 6 Continuous Probability Distributions 213
Chapter 7 Sampling and Sampling Distributions 247
Chapter 8 Interval Estimation 291
Chapter 9 Hypothesis Testing 327
Chapter IO Statistical Inference about Means and Proportions with
Two Populations 383
Chapter n Inferences about Population Variances 425
Chapter 12 Tests of Goodness of Fit and Independence 449
Chapter 13 Analysis of Variance and Experimental Design 483
Chapter 14 Simple Linear Regression 543
Chapter 15 Multiple Regression 621
Chapter 16 Regression Analysis: Model Building 677
Chapter 17 Index Numbers 731
Chapter 18 Forecasting 753
Chapter 19 Nonparametric Methods 803
Chapter 2O Statistical Methods for Quality Control 841
Chapter 21 Sample Survey 873
Appendix A References and Bibliography A 2
Appendix B Tables A 4
Appendix C Summation Notation A 39
Appendix D Answers to Even Numbered Exercises A 41
Appendix E Solutions to Self Test Exercises A 59
Index I l
Preface xxiii
About the Authors xxix
Chapter I Data and Statistics 1
Statistics in Practice: Business Week 2
1.1 Applications in Business and Economics 3
Accounting 3
Finance 4
Marketing 4
Production 4
Economics 4
1.2 Data 5
Elements, Variables, and Observations 6
Qualitative and Quantitative Data 6
Cross Sectional and Time Series Data 7
1.3 Data Sources 7
Existing Sources 7
Statistical Studies 9
Data Acquisition Errors 12
1.4 Descriptive Statistics 12
1.5 Statistical Inference 14
Summary 16
Glossary 16
Exercises 17
Chapter 2 Descriptive Statistics I: Tabular and Graphical Methods 23
Statistics in Practice: Colgate Palmolive Company 24
2.1 Summarizing Qualitative Data 25
Frequency Distribution 25
Relative Frequency and Percent Frequency Distributions 26
Bar Graphs and Pie Charts 26
Exercises 28
2.2 Summarizing Quantitative Data 31
Frequency Distribution 31
Relative Frequency and Percent Frequency Distributions 32
Dot Plot 33
Histogram 33
Cumulative Distributions 34
Ogive 35
Exercises 36
2.3 Exploratory Data Analysis: The Stem and Leaf Display 40
Exercises 43
2.4 Crosstabulations and Scatter Diagrams 44
Crosstabulations 44
Scatter Diagram 46
Contents v
Exercises 48
Summary 50
Glossary 51
Key Formulas 52
Supplementary Exercises 52
Case Problem: Consolidated Foods 58
Appendix 2.1 Dot Plots and Histograms with Minitab 59
Appendix 2.2 Frequency Distributions and Bar Graphs with Excel 59
Chapter 3 Descriptive Statistics II: Numerical Methods 63
Statistics in Practice: Barnes Hospital 64
3.1 Measures of Location 65
Mean 65
Median 66
Mode 68
Percentiles 68
Quartiles 70
Exercises 71
3.2 Measures of Variability 74
Range 74
Interquartile Range 75
Variance 75
Standard Deviation 78
Coefficient of Variation 78
Exercises 79
3.3 Measures of Relative Location and Detecting Outliers 81
Some Uses of the Mean and the Standard Deviation 79
2 Scores 81
Chebyshev s Theorem 82
The Empirical Rule 83
Detecting Outliers 84
Exercises 84
3.4 Exploratory Data Analysis 86
Five Number Summary 87
Box PJot 87
Exercises 88
3.5 Measures of Association between Two Variables 91
Covariance 91
Interpretation of the Covariance 93
Correlation Coefficient 95
Interpretation of the Correlation Coefficient 96
t Exercises 98
3.6 The Weighted Mean and Working with Grouped Data 100
The Weighted Mean 101
Grouped Data 102
Exercises 104
Summary 106
Glossary 107
Key Formulas 108
Supplementary Exercises 110
Contents
Case Problem 1: Consolidated Foods, Inc. 114
Case Problem 2: National Health Care Association 115
Case Problem 3: Business Schools of Asia Pacific 116
Appendix 3.1 Descriptive Statistics with Minitab 118
Appendix 3.2 Descriptive Statistics with Excel 121
Chapter 4 Introduction to Probability 125
Statistics in Practice: Morton International 126
4.1 Experiments, the Sample Space, and Counting Rules 127
Counting Rules 128
Exercises 132
4.2 Assigning Probabilities to Experimental Outcomes 133
Classical Method 134
Relative Frequency Method 134
Subjective Method 135
Probabilities for the KP L Problem 135
Exercises 136
4.3 Events and Their Probabilities 138
Exercises 140
4.4 Some Basic Relationships of Probability 142
Complement of an Event 142
Addition Law 143
Exercises 146
4.5 Conditional Probability 148
Independent Events 152
Multiplication Law 152
Exercises 153
4.6 Bayes Theorem 156
The Tabular Approach 160
Exercises 161
Summary 162
Glossary 163
Key Formulas 164
Supplementary Exercises 164
Case Problem: Hamilton County Judges 170
Chapter 5 Discrete Probability Distributions 173
Statistics in Practice: Xerox Corporation 174
5.1 Random Variables 175
Discrete Random Variables 175
Continuous Random Variables 176
Exercises 177
5.2 Discrete Probability Distributions 178
Exercises 180
5.3 Expected Value and Variance 183
Expected Value 183
Variance 183
Exercises 184
5.4 The Binomial Probability Distribution 187
A Binomial Experiment 187
The Martin Clothing Store Problem 189
Contents vii
Using Tables of Binomial Probabilities 193
The Expected Value and Variance for the Binomial Probability
Distribution 194
Exercises 195
5.5 The Poisson Probability Distribution 198
An Example Involving Time Intervals 198
An Example Involving Length or Distance Intervals 200
Poisson Approximation of the Binomial Probability
Distribution 200
Exercises 200
5.6 The Hypergeometric Probability Distribution 202
Exercises 203
Summary 204
Glossary 205
Key Formulas 206
Supplementary Exercises 207
Appendix 5.1 Discrete Probability Distributions with Minitab 210
Appendix 5.2 Discrete Probability Distributions with Excel 210
Chapter 6 Continuous Probability Distributions 213
Statistics in Practice: Procter Gamble 214
6.1 The Uniform Probability Distribution 215
Area as a Measure of Probability 216
Exercises 218
6.2 The Normal Probability Distribution 220
The Normal Curve 220
The Standard Normal Probability Distribution 222
Computing Probabilities for any Normal Probability
Distribution 228
The Grear Tire Company Problem 229
Exercises 231
6.3 Normal Approximation of Binomial Probabilities 233
Exercises 235
6.4 The Exponential Probability Distribution 236
Computing Probabilities for the Exponential Distribution 237
Relationship between the Poisson and Exponential
Distributions 238
Exercises 238
Summary 239
Glossary 240
Key Formulas 240
Supplementary Exercises 241
Appendix 6.1 Continuous Probability Distributions with Minitab 245
Appendix 6.2 Continuous Probability Distributions with Excel 246
Chapter 7 Sampling and Sampling Distributions 247
Statistics in Practice: Mead Corporation 248
7.1 The Electronics Associates Sampling Problem 250
7.2 Simple Random Sampling 250
Sampling from Finite Populations 251
Sampling from Infinite Populations 252
Contents
Exercises 253
7.3 Point Estimation 256
Exercises 258
7.4 Introduction to Sampling Distributions 259
7.5 Sampling Distribution of I 262
Expected Value of x 263
Standard Deviation of a 264
Central Limit Theorem 265
Sampling Distribution of x for the EAI Problem 267
Practical Value of the Sampling Distribution of jf 267
The Relationship between the Sample Size and the Sampling
Distribution of x 268
Exercises 270
7.6 Sampling Distribution of/? 273
Expected Value of/) 274
Standard Deviation of p 21A
Form of the Sampling Distribution of p 275
Practical Value of the Sampling Distribution of p 275
Exercises 277
7.7 Properties of Point Estimators 279
Unbiasedness 279
Efficiency 280
Consistency 281
7.8 Other Sampling Methods 282
Stratified Random Sampling 282
Cluster Sampling 282
Systematic Sampling 283
Convenience Sampling 283
Judgment Sampling 284
Summary 284
Glossary 285
Key Formulas 286
Supplementary Exercises 286
Appendix 7.1 The Expected Value and Standard Deviation of x 288
Chapter 8 Interval Estimation 291
Statistics in Practice: Dollar General Corporation 292
8.1 Interval Estimation of a Population Mean: Large Sample Case 293
Sampling Error 293
Probability Statements about the Sampling Error 294
Calculating an Interval Estimate: Large Sample Case with o
Known 296
Calculating an Interval Estimate: Large Sample Case with a
Unknown 298
Exercises 300
8.2 Interval Estimation of a Population Mean: Small Sample Case 302
Exercises 306
8.3 Determining the Sample Size 308
Exercises 310
8.4 Interval Estimation of a Population Proportion 311
Contents ix
Determining the Sample Size 313
Exercises 315
Summary 317
Glossary 317
Key Formulas 319
Supplementary Exercises 319
Case Problem 1: Book Investment Services 322
Case Problem 2: Metropolitan Research, Inc. 324
Appendix 8.1 Confidence Interval Estimation with Minitab 324
Appendix 8.2 Confidence Interval Estimation with Excel 325
Chapter 9 Hypothesis Testing 327
Statistics in Practice: Harris Corporation 328
9.1 Developing Null and Alternative Hypotheses 329
Testing Research Hypotheses 329
Testing the Validity of a Claim 330
Testing in Decision Making Situations 330
A Summary of Forms for Null and Alternative Hypotheses 331
Exercises 331
9.2 Type I and Type II Errors 332
Exercises 334
9.3 One Tailed Tests about a Population Mean: Large Sample
Case 334
Summary: One Tailed Tests about a Population Mean 338
The Use of p Values 340
The Steps of Hypothesis Testing 342
Exercises 343
9.4 Two Tailed Tests about a Population Mean: Large Sample
Case 345
Summary: Two Tailed Tests about a Population Mean 347
p Values for Two Tailed Tests 347
The Relationship between Interval Estimation and Hypothesis
Testing 348
Exercises 350
9.5 Tests about a Population Mean: Small Sample Case 352
/j Values and the / Distribution 353
A Two Tailed Test 354
Exercises 356
9.6 Tests about a Population Proportion 357
Exercises 360
9.7 Hypothesis Testing and Decision Making 363
9.8 Calculating the Probability of Type II Errors 364
Exercises 368
9.9 Determining the Sample Size for a Hypothesis Test about a
Population Mean 369
Exercises 372
Summary 373
Glossary 375
Key Formulas 376
Supplementary Exercises 377
Contents
Case Problem: Quality Associates, Inc. 379
Appendix 9.1 Hypothesis Testing with Minitab 381
Appendix 9.2 Hypothesis Testing with Excel 381
Chapter io Statistical Inference about Means and Proportions with Two
Populations 383
Statistics in Practice: Fisons Corporation 384
10.1 Estimation of the Difference between the Means of Two
Populations: Independent Samples 385
Sampling Distribution of x, x2 386
Interval Estimate of fi1 — fi2 Large Sample
Case 387
Interval Estimate of fix fx2 Small Sample Case 389
Exercises 392
10.2 Hypothesis Tests about the Difference between the Means of Two
Populations: Independent Samples 395
Large Sample Case 395
Small Sample Case 397
Exercises 400
10.3 Inferences about the Difference between the Means of Two
Populations: Matched Samples 403
Exercises 406
10.4 Inferences about the Difference between the Proportions of Two
Populations 409
Sampling Distribution of px p2 409
Interval Estimation of p, p2 410
Hypothesis Tests about px p2 412
Exercises 413
Summary 415
Glossary 416
Key Formulas 416
Supplementary Exercises 418
Case Problem: Par, Inc. 421
Appendix 10.1 Two Population Means with Minitab 421
Appendix 10.2 Two Population Means with Excel 422
Chapter n Inferences about Population Variances 425
Statistics in Practice: U.S. General Accounting Office 426
11.1 Inferences about a Population Variance 427
Interval Estimation of o2 428
Hypothesis Testing 431
Exercises 435
11.2 Inferences about the Variances of Two Populations 437
Exercises 442
Summary 444
Key Formulas 445
Supplementary Exercises 445
Case Problem: Air Force Training Program 446
Chapter 12 Tests of Goodness of Fit and Independence 449
Statistics in Practice: United Way 450
Contents xi
12.1 Goodness of Fit Test: A Multinomial Population 451
Exercises 455
12.2 Test of Independence: Contingency Tables 456
Exercises 461
12.3 Goodness of Fit Test: Poisson and Normal Distributions 464
A Poisson Distribution 464
A Normal Distribution 468
Exercises 473
Summary 474
Glossary 474
Key Formulas 475
Supplementary Exercises 475
Case Problem: A Bipartisan Agenda for Change 479
Appendix 12.1 Tests of Goodness of Fit and Independence with
Minitab 479
Appendix 12.1 Tests of Goodness of Fit and Independence with
Excel 481
Chapter 13 Analysis of Variance and Experimental Design 483
Statistics in Practice: Burke Marketing Services, Inc. 484
13.1 An Introduction to Analysis of Variance 485
Assumptions for Analysis of Variance 486
A Conceptual Overview 486
13.2 Analysis of Variance: Testing for the Equality of k
Population Means 489
Between Treatments Estimate of Population Variance 490
Within Treatments Estimate of Population Variance 491
Comparing the Variance Estimates: The F Test 491
The ANOVA Table 493
Computer Results for Analysis of Variance 493
Exercises 495
13.3 Multiple Comparison Procedures 499
Fisher s LSD 499
Type I Error Rates 501
Exercises 502
13.4 An Introduction to Experimental Design 503
Data Collection 504
13.5 Completely Randomized Designs 506
Between Treatments Estimate of Population Variance 506
Within Treatments Estimate of Population Variance 506
Comparing the Variance Estimates: The F Test 507
The ANOVA Table 507
Pairwise Comparisons 507
Exercises 508
13.6 Randomized Block Design 511
Air Traffic Controller Stress Test 512
The ANOVA Procedure 513
Computations and Conclusions 514
Exercises 516
13.7 Factorial Experiments 517
Contents
The ANOVA Procedure 519
Computations and Conclusions 520
Exercises 523
Summary 526
Glossary 526
Key Formulas 527
Supplementary Exercises 530
Case Problem 1: Wentworth Medical Center 535
Case Problem 2: Compensation for ID Professionals 536
Appendix 13.1 Analysis of Variance and Experimental Design with
Minitab 538
Appendix 13.2 Analysis of Variance and Experimental Design with
Excel 539
Chapter 14 Simple Linear Regression 543
Statistics in Practice: Polaroid Corporation 544
14.1 The Simple Linear Regression Model 545
The Regression Model and the Regression Equation 545
The Estimated Regression Equation 546
14.2 The Least Squares Method 547
Exercises 552
14.3 The Coefficient of Determination 558
Computational Efficiencies 561
The Correlation Coefficient 562
Exercises 564
14.4 Model Assumptions 566
14.5 Testing for Significance 567
An Estimate of a1 567
t Test 569
FTest 571
Some Cautions about the Interpretation of Significance
Tests 573
Exercises 574
14.6 Using the Estimated Regression Equation for Estimation and
Prediction 576
Point Estimation 576
Interval Estimation 576
Confidence Interval Estimate of the Mean Value of y 576
Prediction Interval Estimate for an Individual Value of y 578
Exercises 581
14.7 Computer Solution 583
Exercises 584
14.8 Residual Analysis: Validating Model Assumptions 587
Residual Plot Against x 588
Residual Plot Against y 589
Standardized Residuals 591
Normal Probability Plot 593
Exercises 595
Residual Analysis: Outliers and Influential Observations 596
Detecting Outliers 596
Contents xiii
Detecting Influential Observations 599
Exercises 601
Summary 603
Glossary 604
Key Formulas 605
Supplementary Exercises 607
Case Problem I: Spending and Student Achievement 612
Case Problem 2: U.S. Department of Transportation 614
Appendix 14.1 Calculus Based Derivation of Least Squares
Formulas 615
Appendix 14.2 A Test for Significance Using Correlation 616
Appendix 14.3 Regression Analysis with Minitab 617
Appendix 14.4 Regression Analysis with Excel 618
Chapter 15 Multiple Regression 621
Statistics in Practice: Champion International Corporation 622
15.1 The Multiple Regression Model 623
The Regression Model and the Regression Equation 623
The Estimated Multiple Regression Equation 623
15.2 The Least Squares Method 624
An Example: Butler Trucking Company 625
A Note on Interpretation of Coefficients 627
Exercises 629
15.3 The Multiple Coefficient of Determination 633
Exercises 634
15.4 Model Assumptions 636
15.5 Testing for Significance 637
F Test 637
t Test 640
Multicollinearity 641
Exercises 642
15.6 Using the Estimated Regression Equation for Estimation and
Prediction 644
Exercises 645
15.7 Qualitative Independent Variables 646
An Example: Johnson Filtration. Inc. 646
Interpreting the Parameters 648
More Complex Qualitative Variables 649
Exercises 651
15.8 Residual Analysis 654
Detecting Outliers 657
Studentized Deleted Residuals and Outliers 657
Influential Observations 658
Using Cook s Distance Measure to Identify Influential
Observations 659
Exercises 661
Summary 663
Glossary 664
Key Formulas 664
Supplementary Exercises 666
Contents
Case Problem 1: Consumer Research, Inc. 670
Case Problem 2: NFL Quarterback Rating 671
Case Problem 3: Predicting Student Proficiency Test Scores 673
Appendix 15.1 Calculus Based Derivation and Solution of Multiple
Regression Problems with Two Independent Variables 674
Chapter 16 Regression Analysis: Model Building 677
Statistics in Practice: Monsanto Company 678
16.1 The General Linear Model 679
Modeling Curvilinear Relationships 679
Interaction 683
Transformations Involving the Dependent Variable 687
Nonlinear Models that Are Intrinsically Linear 690
Exercises 691
16.2 Determining When to Add or Delete Variables 694
The General Case 696
Exercises 698
16.3 First Steps in the Analysis of a Larger Problem 700
16.4 Variable Selection Procedures 703
Stepwise Regression 704
Forward Selection 706
Backward Elimination 706
Best Subsets Regression 707
Making the Final Choice 708
Exercises 709
16.5 Residual Analysis 712
Autocorrelation and the Durbin Watson Test 712
Exercises 719
16.6 Multiple Regression Approach to Analysis of Variance and
Experimental Design 719
Exercises 722
Summary 723
Glossary 724
Key Formulas 724
Supplementary Exercises 725
Case Problem 1: Unemployment Study 728
Case Problem 2: Analysis of PGA Tour Statistics 729
Chapter 17 Index Numbers 731
Statistics in Practice: U.S. Department of Labor, Bureau of Labor
Statistics 732
17.1 Price Relatives 733
17.2 Aggregate Price Indexes 733
Exercises 736
17.3 Computing an Aggregate Index from Price Relatives 737
Exercises 739
17.4 Some Important Price Indexes 740
Consumer Price Index 740
Producer Price Index 740
Dow Jones Averages 740
17.5 Deflating a Series by Price Indexes 742
Contents xv
Exercises 744
17.6 Price Indexes: Other Considerations 745
Selection of Items 745
Selection of a Base Period 746
Quality Changes 746
17.7 Quantity Indexes 747
Exercises 748
Summary 748
Glossary 749
Key Formulas 749
Supplementary Exercises 750
Chapter 18 Forecasting 753
Statistics in Practice: Nevada Occupational Health Clinic 754
18.1 The Components of a Time Series 756
Trend Component 756
Cyclical Component 758
Seasonal Component 758
Irregular Component 759
18.2 Using Smoothing Methods in Forecasting 759
Moving Averages 759
Weighted Moving Averages 762
Exponential Smoothing 762
Exercises 767
18.3 Using Trend Projection in Forecasting 769
Trend Projections 773
Exercises 773
18.4 Using Trend and Seasonal Components in Forecasting 776
The Multiplicative Model 776
Calculating the Seasonal Indexes 776
Deseasonalizing the Time Series 781
Using the Deseasonalized Time Series to Identify Trend 781
Seasonal Adjustments 784
Models Based on Monthly Data 784
Cyclical Component 784
Exercises 785
18.5 Using Regression Analysis in Forecasting 786
18.6 Qualitative Approaches to Forecasting 788
Delphi Method 789
Expert Judgment 789
Scenario Writing 789
Intuitive Approaches 789
Summary 789
Glossary 790
Key Formulas 791
Supplementary Exercises 791
Case Problem 1: Forecasting Food and Beverage Sales 796
Case Problem 2: Forecasting Lost Sales 797
Appendix 18.1 Forecasting with Minitab 799
Appendix 18.2 Forecasting with Excel 800
Contents
Chapter 19 Nonparametric Methods 803
Statistics in Practice: West Shell Realtors 804
19.1 Sign Test 806
Small Sample Case 806
Large Sample Case 809
Hypothesis Tests about a Median 810
Exercises 811
19.2 Wilcoxon Signed Rank Test 813
Exercises 816
19.3 Mann Whitney Wilcoxon Test 818
Small Sample Case 819
Large Sample Case 821
Exercises 824
19.4 Kruskal Wallis Test 827
Exercises 829
19.5 Rank Correlation 831
A Test for Significant Rank Correlation 831
Exercises 833
Summary 835
Glossary 836
Key Formulas 836
Supplementary Exercises 837
Chapter 20 Statistical Methods for Quality Control 841
Statistics in Practice: Dow Chemical U.S.A. 842
20.1 Statistical Process Control 843
Control Charts 844
x Chart: Process Mean and Standard Deviation
Known 845
x Chart: Process Mean and Standard Deviation
Unknown 847
R Chart 850
p Chart 851
np Chart 854
Interpretation of Control Charts 855
Exercises 855
20.2 Acceptance Sampling 857
KALI, Inc.: An Example of Acceptance Sampling 859
Computing the Probability of Accepting a Lot 859
Selecting an Acceptance Sampling Plan 863
Multiple Sampling Plans 864
Exercises 866
Summary 867
Glossary 867
Key Formulas 868
Supplementary Exercises 869
Appendix 20.1 Control Charts with Minitab 871
Chapter 21 Sample Survey 873
Statistics in Practice: Cincinnati Gas Electric Company 874
21.1 Terminology Used in Sample Surveys 875
Contents xvii
21.2 Types of Surveys and Sampling Methods 876
21.3 Survey Errors 877
Nonsampling Error 877
Sampling Error 878
21.4 Simple Random Sampling 878
Population Mean 878
Population Total 880
Population Proportion 881
Determining the Sample Size 882
Exercises 884
21.5 Stratified Simple Random Sampling 885
Population Mean 885
Population Total 887
Population Proportion 888
Determining the Sample Size 890
Exercises 892
21.6 Cluster Sampling 894
Population Mean 896
Population Total 898
Population Proportion 898
Determining the Sample Size 899
Exercises 900
21.7 Systematic Sampling 902
Summary 902
Glossary 903
Key Formulas 904
Supplementary Exercises 907
Appendixes
Appendix A References and Bibliography A 2
Appendix B Tables A 4
Appendix C Summation Notation A 39
Appendix D Answers to Even Numbered Exercises A 41
Appendix E Solutions to Self Test Exercises A 59
Index 1 1
|
| any_adam_object | 1 |
| author | Anderson, David R. Sweeney, Dennis J. Williams, Thomas A. 1931- |
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| author_facet | Anderson, David R. Sweeney, Dennis J. Williams, Thomas A. 1931- |
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| ctrlnum | (OCoLC)39001211 (DE-599)BVBBV013227424 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Wirtschaftswissenschaften |
| edition | 7. ed. |
| format | Book |
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| genre | 1\p (DE-588)4123623-3 Lehrbuch gnd-content |
| genre_facet | Lehrbuch |
| id | DE-604.BV013227424 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:42:04Z |
| institution | BVB |
| isbn | 0538875933 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009014501 |
| oclc_num | 39001211 |
| open_access_boolean | |
| owner | DE-384 |
| owner_facet | DE-384 |
| physical | Getr. Zählung graph. Darst. 1 CD-ROM (12 cm) + 2 Disketten (9 cm) |
| publishDate | 1999 |
| publishDateSearch | 1999 |
| publishDateSort | 1999 |
| publisher | South Western College Publ. |
| record_format | marc |
| spelling | Anderson, David R. Verfasser aut Statistics for business and economics David R. Anderson ; Dennis J. Sweeney ; Thomas A. Williams 7. ed. Cincinnati u.a. South Western College Publ. 1999 Getr. Zählung graph. Darst. 1 CD-ROM (12 cm) + 2 Disketten (9 cm) txt rdacontent n rdamedia nc rdacarrier Administração (métodos estatísticos) larpcal Bedrijfsstatistiek gtt Economia (administração;economia) larpcal Statistique commerciale ram Statistische methoden gtt Économie politique - Méthodes statistiques ram Statistik Wirtschaft Commercial statistics Methodology Economics Statistical methods Statistics Wirtschaftsmathematik (DE-588)4066472-7 gnd rswk-swf Wirtschaftsstatistik (DE-588)4066517-3 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Statistik (DE-588)4056995-0 s Wirtschaftsmathematik (DE-588)4066472-7 s 2\p DE-604 Wirtschaftsstatistik (DE-588)4066517-3 s 3\p DE-604 Sweeney, Dennis J. Verfasser aut Williams, Thomas A. 1931- Verfasser (DE-588)12127795X aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009014501&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Anderson, David R. Sweeney, Dennis J. Williams, Thomas A. 1931- Statistics for business and economics Administração (métodos estatísticos) larpcal Bedrijfsstatistiek gtt Economia (administração;economia) larpcal Statistique commerciale ram Statistische methoden gtt Économie politique - Méthodes statistiques ram Statistik Wirtschaft Commercial statistics Methodology Economics Statistical methods Statistics Wirtschaftsmathematik (DE-588)4066472-7 gnd Wirtschaftsstatistik (DE-588)4066517-3 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4066472-7 (DE-588)4066517-3 (DE-588)4056995-0 (DE-588)4123623-3 |
| 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 David R. Anderson ; Dennis J. Sweeney ; Thomas A. Williams |
| title_fullStr | Statistics for business and economics David R. Anderson ; Dennis J. Sweeney ; Thomas A. Williams |
| title_full_unstemmed | Statistics for business and economics David R. Anderson ; Dennis J. Sweeney ; Thomas A. Williams |
| title_short | Statistics for business and economics |
| title_sort | statistics for business and economics |
| topic | Administração (métodos estatísticos) larpcal Bedrijfsstatistiek gtt Economia (administração;economia) larpcal Statistique commerciale ram Statistische methoden gtt Économie politique - Méthodes statistiques ram Statistik Wirtschaft Commercial statistics Methodology Economics Statistical methods Statistics Wirtschaftsmathematik (DE-588)4066472-7 gnd Wirtschaftsstatistik (DE-588)4066517-3 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Administração (métodos estatísticos) Bedrijfsstatistiek Economia (administração;economia) Statistique commerciale Statistische methoden Économie politique - Méthodes statistiques Statistik Wirtschaft Commercial statistics Methodology Economics Statistical methods Statistics Wirtschaftsmathematik Wirtschaftsstatistik Lehrbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009014501&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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