Statistics for business and economics:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Harlow [u.a.]
Pearson
2013
|
| Ausgabe: | 8. ed., global ed. |
| Schriftenreihe: | Always learning
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Hier auch später erschienene, unveränderte Nachdrucke |
| Beschreibung: | 792 S. graph. Darst. |
| ISBN: | 9780273767060 0273767062 |
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| adam_text | Titel: Statistics for business and economics
Autor: Newbold, Paul
Jahr: 2013
CONTENTS
Preface 13
Data File Index 19
chapter 1 Using Graphs to Describe Data 21
1.1 Decision Making in an Uncertain Environment 22
Random and Systematic Sampling 22
Sampling and Nonsampling Errors 24
1.2 Classification of Variables 25
Categorical and Numerical Variables 25
Measurement Levels 26
1.3 Graphs to Describe Categorical Variables 28
Tables and Charts 28
Cross Tables 29
Pie Charts 31
Pareto Diagrams 32
1.4 Graphs to Describe Time-Series Data 35
1.5 Graphs to Describe Numerical Variables 40
Frequency Distributions 40
Histograms and Ogives 44
Shape of a Distribution 44
Stem-and-LeafDisplays 46
Scatter Plots 47
1.6 Data Presentation Errors 51
Misleading Histograms 51
Misleading Time-Series Plots 53
chapter 2 Using Numerical Measures to Describe Data 59
2.1 Measures of Central Tendency and Location 59
Mean, Median, and Mode 60
Shape of a Distribution 62
Geometric Mean 63
Percentiles and Quartiles 64
2.2 Measures of Variability 68
Range and Interquartile Range 69
Box-and-Whisker Plots 69
Variance and Standard Deviation 71
Coefficient of Variation 75
Chebyshev s Theorem and the Empirical Rule 75
z-Score 77
2.3 Weighted Mean and Measures of Grouped Data 80
2.4 Measures of Relationships Between Variables 84
Case Study: Mortgage Portfolio 91
chapter 3 Elements of Chance: Probability Methods 93
3.1 Random Experiment, Outcomes, and Events 94
3.2 Probability and Its Postulates 101
Classical Probability 101
Permutations and Combinations 102
Relative Frequency 106
Subjective Probability 107
3.3 Probability Rules 111
Conditional Probability 113
Statistical Independence 116
3.4 Bivariate Probabilities 122
Odds 126
Overinvolvement Ratios 126
3.5 Bayes Theorem 132
Subjective Probabilities in Management Decision Making 138
CHAPTER 4 Discrete Probability Distributions 146
4.1 Random Variables 147
4.2 Probability Distributions for Discrete Random Variables 148
4.3 Properties of Discrete Random Variables 152
Expected Value of a Discrete Random Variable 152
Variance of a Discrete Random Variable 153
Mean and Variance of Linear Functions of a Random Variable 155
4.4 Binomial Distribution 159
Developing the Binomial Distribution 160
4.5 Poisson Distribution 167
Poisson Approximation to the Binomial Distribution 171
Comparison of the Poisson and Binomial Distributions 172
4.6 Hypergeometric Distribution 173
4.7 Jointly Distributed Discrete Random Variables 176
Conditional Mean and Variance 180
Computer Applications 180
Linear Functions of Random Variables 180
Covariance 181
Correlation 182
Portfolio Analysis 186
chapter 5 Continuous Probability Distributions 197
5.1 Continuous Random Variables 198
The Uniform Distribution 201
5.2 Expectations for Continuous Random Variables 203
5.3 The Normal Distribution 206
Normal Probability Plots 215
5.4 Normal Distribution Approximation for Binomial Distribution 219
Proportion Random Variable 223
5.5 The Exponential Distribution 225
5.6 Jointly Distributed Continuous Random Variables 228
Linear Combinations of Random Variables 232
Financial Investment Portfolios 232
Cautions Concerning Finance Models 236
CHAPTER 6 Distributions of Sample Statistics 244
6.1 Sampling from a Population 245
Development of a Sampling Distribution 246
6.2 Sampling Distributions of Sample Means 249
Central Limit Theorem 254
Monte Carlo Simulations: Central Limit Theorem 254
Acceptance Intervals 260
6.3 Sampling Distributions of Sample Proportions 265
6.4 Sampling Distributions of Sample Variances 270
chapter 7 Confidence Interval Estimation: One Population 284
7.1 Properties of Point Estimators 285
Unbiased 286
Most Efficient 287
7.2 Confidence Interval Estimation for the Mean of a Normal Distribution:
Population Variance Known 291
Intervals Based on the Normal Distribution 292
Reducing Margin of Error 295
7.3 Confidence Interval Estimation for the Mean of a Normal Distribution:
Population Variance Unknown 297
Student s t Distribution 297
Intervals Based on the Student s t Distribution 299
7.4 Confidence Interval Estimation for Population Proportion
(Large Samples) 303
7.5 Confidence Interval Estimation for the Variance of a Normal
Distribution 306
7.6 Confidence Interval Estimation: Finite Populations 309
Population Mean and Population Total 309
Population Proportion 312
7.7 Sample-Size Determination: Large Populations 315
Mean of a Normally Distributed Population, Known Population
Variance 315
Population Proportion 317
7.8 Sample-Size Determination: Finite Populations 319
Sample Sizes for Simple Random Sampling: Estimation of the Population
Mean or Total 320
Sample Sizes for Simple Random Sampling: Estimation of Population
Proportion 321
chapter 8 Confidence Interval Estimation: FurtherTopics 328
8.1 Confidence Interval Estimation of the Difference Between Two Normal Population
Means: Dependent Samples 329
8.2 Confidence Interval Estimation of the Difference Between Two Normal Population
Means: Independent Samples 333
Two Means, Independent Samples, and Known Population Variances 333
Two Means, Independent Samples, and Unknown Population Variances Assumed to
Be Equal 335
Two Means, Independent Samples, and Unknown Population Variances Not Assumed to
Be Equal 337
8.3 Confidence Interval Estimation of the Difference Between Two Population
Proportions (Large Samples) 340
chapter 9 Hypothesis Tests of a Single Population 346
9.1 Concepts of Hypothesis Testing 347
9.2 Tests of the Mean of a Normal Distribution: Population Variance Known 352
p-Value 354
Two-Sided Alternative Hypothesis 360
9.3 Tests of the Mean of a Normal Distribution: Population Variance Unknown 362
9.4 Tests of the Population Proportion (Large Samples) 366
9.5 Assessing the Power of a Test 368
Tests of the Mean of a Normal Distribution: Population
Variance Known 369
Power of Population Proportion Tests (Large Samples) 371
9.6 Tests of the Variance of a Normal Distribution 375
chapter 10 Two Population Hypothesis Tests 385
10.1 Tests of the Difference Between Two Normal Population Means:
Dependent Samples 387
Two Means, Matched Pairs 387
10.2 Tests of the Difference Between Two Normal Population Means:
Independent Samples 391
Two Means, Independent Samples, Known Population Variances 391
Two Means, Independent Samples, Unknown Population Variances Assumed to Be Equal 393
Two Means, Independent Samples, Unknown Population Variances Not Assumed to Be Equal 396
10.3 Tests of the Difference Between Two Population Proportions (Large Samples) 399
10.4 Tests of the Equality of the Variances Between Two Normally Distributed
Populations 403
10.5 Some Comments on Hypothesis Testing 406
chapter 11 Two Variable Regression Analysis 417
11.1 Overview of Linear Models 418
11.2 Linear Regression Model 421
11.3 Least Squares Coefficient Estimators 427
Computer Computation of Regression Coefficients 429
11.4 The Explanatory Power of a Linear Regression Equation 431
Coefficient of Determination, R2 433
11.5 Statistical Inference: Hypothesis Tests and Confidence Intervals 438
Hypothesis Test for Population Slope Coefficient Using the F Distribution 443
11.6 Prediction 446
11.7 Correlation Analysis 452
Hypothesis Test for Correlation 452
11.8 Beta Measure of Financial Risk 456
11.9 Graphical Analysis 458
chapter 12 Multiple Variable Regression Analysis 473
12.1 The Multiple Regression Model 474
Model Specification 474
Model Objectives 476
Model Development 477
Three-Dimensional Graphing 480
12.2 Estimation of Coefficients 481
Least Squares Procedure 482
12.3 Explanatory Power of a Multiple Regression Equation 488
12.4 Confidence Intervals and Hypothesis Tests for Individual Regression Coefficients 493
Confidence Intervals 495
Tests of Hypotheses 497
12.5 Tests on Regression Coefficients 505
Tests on All Coefficients 505
Test on a Subset of Regression Coefficients 506
Comparison ofF and t Tests 508
12.6 Prediction 511
12.7 Transformations for Nonlinear Regression Models 514
Quadratic Transformations 515
Logarithmic Transformations 517
12.8 Dummy Variables for Regression Models 522
Differences in Slope 525
12.9 Multiple Regression Analysis Application Procedure 529
Model Specification 529
Multiple Regression 531
Effect of Dropping a Statistically Significant Variable 532
Analysis of Residuals 534
chapter 13 Additional Topics in Regression Analysis 551
13.1 Model-Building Methodology 552
Model Specification 552
Coefficient Estimation 553
Model Verification 554
Model Interpretation and Inference 554
13.2 Dummy Variables and Experimental Design 554
Experimental Design Models 558
Public Sector Applications 563
13.3 Lagged Values of the Dependent Variable as Regressors 567
13.4 Specification Bias 571
13.5 Multicollinearity 574
13.6 Heteroscedasticity 577
13.7 Autocorrelated Errors 582
Estimation of Regressions with Autocorrelated Errors 586
Autocorrelated Errors in Models with Lagged Dependent Variables 590
chapter 14 Introduction to Nonparametric Statistics 602
14.1 Goodness-of-Fit Tests: Specified Probabilities 603
14.2 Goodness-of-Fit Tests: Population Parameters Unknown 609
A Test for the Poisson Distribution 609
A Test for the Normal Distribution 611
14.3 Contingency Tables 614
14.4 Nonparametric Tests for Paired or Matched Samples 619
Sign Test for Paired or Matched Samples 619
Wilcoxon Signed Rank Test for Paired or Matched Samples 622
Normal Approximation to the Sign Test 623
Normal Approximation to the Wilcoxon Signed Rank Test 624
Sign Test for a Single Population Median 626
14.5 Nonparametric Tests for Independent Random Samples 628
Mann-Whitney U Test 628
Wilcoxon Rank Sum Test 631
14.6 Spearman Rank Correlation 634
14.7 A Nonparametric Test for Randomness 636
Runs Test: Small Sample Size 636
Runs Test: Large Sample Size 638
chapter 1 5 Analysis of Variance 645
15.1 Comparison of Several Population Means 645
15.2 One-Way Analysis of Variance 647
Multiple Comparisons Between Subgroup Means 654
Population Model for One-Way Analysis of Variance 655
15.3 The Kruskal-Wallis Test 658
15.4 Two-Way Analysis of Variance: One Observation per Cell, Randomized Blocks 661
15.5 Two-Way Analysis of Variance: More Than One Observation per Cell 670
chapter 16 Forecasting with Time-Series Models 684
16.1 Components of a Time Series 685
16.2 Moving Averages 689
Extraction of the Seasonal Component Through Moving Averages 692
16.3 Exponential Smoothing 697
The Holt-Winters Exponential Smoothing Forecasting Model 700
Forecasting Seasonal Time Series 704
16.4 Autoregressive Models 708
16.5 Autoregressive Integrated Moving Average Models 713
chapter 1 7 Sampling: Stratified, Cluster, and Other Sampling Methods 716
17.1 Stratified Sampling 716
Analysis of Results from Stratified Random Sampling 718
Allocation of Sample Effort Among Strata 723
Determining Sample Sizes for Stratified Random Sampling with Specified
Degree of Precision 725
17.2 Other Sampling Methods 729
Cluster Sampling 729
Two-Phase Sampling 732
Nonprobabilistic Sampling Methods 734
APPENDIX TABLES 738
INDEX 783
|
| any_adam_object | 1 |
| author | Newbold, Paul Carlson, William L. Thorne, Betty M. |
| author_GND | (DE-588)17029224X |
| author_facet | Newbold, Paul Carlson, William L. Thorne, Betty M. |
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| edition | 8. ed., global ed. |
| format | Book |
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| id | DE-604.BV040033856 |
| illustrated | Illustrated |
| indexdate | 2025-02-20T06:44:11Z |
| institution | BVB |
| isbn | 9780273767060 0273767062 |
| language | English |
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| physical | 792 S. graph. Darst. |
| publishDate | 2013 |
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| publisher | Pearson |
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| series2 | Always learning |
| spellingShingle | Newbold, Paul Carlson, William L. Thorne, Betty M. Statistics for business and economics Wirtschaftsstatistik (DE-588)4066517-3 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4066517-3 (DE-588)4056995-0 (DE-588)4053458-3 (DE-588)4151278-9 (DE-588)4143389-0 (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 Paul Newbold ; William L. Carlson ; Betty M. Thorne |
| title_fullStr | Statistics for business and economics Paul Newbold ; William L. Carlson ; Betty M. Thorne |
| title_full_unstemmed | Statistics for business and economics Paul Newbold ; William L. Carlson ; Betty M. Thorne |
| title_short | Statistics for business and economics |
| title_sort | statistics for business and economics |
| topic | Wirtschaftsstatistik (DE-588)4066517-3 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Wirtschaftsstatistik Statistik Schulbuch Einführung Aufgabensammlung Lehrbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024890700&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT newboldpaul statisticsforbusinessandeconomics AT carlsonwilliaml statisticsforbusinessandeconomics AT thornebettym statisticsforbusinessandeconomics |
Inhaltsverzeichnis
THWS Schweinfurt Zentralbibliothek Lesesaal
| Signatur: |
2000 QH 231 N534(8) |
|---|---|
| Exemplar 1 | ausleihbar Verfügbar Bestellen |