Schaum's outline of theory and problems of business statistics:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York u.a.
McGraw-Hill
2004
|
| Edition: | 4. ed. |
| Series: | Schaum's outline series
|
| Subjects: | |
| Online Access: | Publisher description Inhaltsverzeichnis |
| Physical Description: | XIII, 404 graph. Darst. |
| ISBN: | 0071410805 |
Staff View
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| 245 | 1 | 0 | |a Schaum's outline of theory and problems of business statistics |c Leonard J. Kazmier |
| 246 | 1 | 3 | |a Theory and problems of business statistics |
| 250 | |a 4. ed. | ||
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Record in the Search Index
| _version_ | 1804129420111249408 |
|---|---|
| adam_text | CHAPTER 1 Analyzing Business Data 1
1.1 Definition of Business Statistics 1
1.2 Descriptive and Inferential Statistics 1
1.3 Types of Applications in Business 2
1.4 Discrete and Continuous Variables 2
1.5 Obtaining Data Through Direct Observation vs. Surveys 2
1.6 Methods of Random Sampling 3
1.7 Other Sampling Methods 4
1.8 Using Excel and Minitab to Generate Random Numbers 4
CHAPTER 2 Statistical Presentations and Graphical Displays 10
2.1 Frequency Distributions 10
2.2 Class Intervals 11
2.3 Histograms and Frequency Polygons 12
2.4 Frequency Curves 12
2.5 Cumulative Frequency Distributions 13
2.6 Relative Frequency Distributions 14
2.7 The And Under Type of Frequency Distribution 15
2.8 Stem and Leaf Diagrams 15
2.9 Dotplots 16
2.10 Pareto Charts 16
2.11 Bar Charts and Line Graphs 16
2.12 Run Charts 18
2.13 Pie Charts 19
2.14 Using Excel and Minitab 19
CHAPTER 3 Describing Business Data: Measures of Location 44
3.1 Measures of Location in Data Sets 44
3.2 The Arithmetic Mean 44
3.3 The Weighted Mean 45
3.4 The Median 45
3.5 The Mode 46
3.6 Relationship Between the Mean and the Median 46
3.7 Mathematical Criteria Satisfied by the Median and the Mean 46
3.8 Use of the Mean, Median, and Mode 47
3.9 Use of the Mean in Statistical Process Control 48
vii
viii CONTENTS
3.10 Quartiles, Deciles, and Percentiles 48
3.11 Using Excel and Minitab 48
CHAPTER 4 Describing Business Data: Measures of Dispersion 57
4.1 Measures of Variability in Data Sets 57
4.2 The Range 57
4.3 Modified Ranges 58
4.4 Box Plots 58
4.5 The Mean Absolute Deviation 59
4.6 The Variance and Standard Deviation 60
4.7 Simplified Calculations for the Variance and Standard Deviation 61
4.8 The Mathematical Criterion Associated with the Variance
and Standard Deviation 62
4.9 Use of the Standard Deviation in Data Description 62
4.10 Use of the Range and Standard Deviation in Statistical Process
Control 62
4.11 The Coefficient of Variation 63
4.12 Pearson s Coefficient of Skewness 64
4.13 Using Excel and Minitab 64
CHAPTER 5 Probability 74
5.1 Basic Definitions of Probability 74
5.2 Expressing Probability 75
5.3 Mutually Exclusive and Nonexclusive Events 76
5.4 The Rules of Addition 76
5.5 Independent Events, Dependent Events, and Conditional
Probability 77
5.6 The Rules of Multiplication 78
5.7 Bayes Theorem 80
5.8 Joint Probability Tables 81
5.9 Permutations 82
5.10 Combinations 83
CHAPTER 6 Probability Distributions for Discrete Random
Variables: Binomial, Hypergeometric, and Poission 99
6.1 What Is a Random Variable? 99
6.2 Describing a Discrete Random Variable 100
6.3 The Binomial Distribution 102
6.4 The Binomial Variable Expressed by Proportions 103
6.5 The Hypergeometric Distribution 104
6.6 The Poisson Distribution 104
6.7 Poisson Approximation of Binomial Probabilities 106
6.8 Using Excel and Minitab 107
CONTENTS ix
CHAPTER 7 Probability Distributions for Continuous Random
Variables: Normal and Exponential 122
7.1 Continuous Random Variables 122
7.2 The Normal Probability Distribution 123
7.3 Percentile Points for Normally Distributed Variables 125
7.4 Normal Approximation of Binomial Probabilities 126
7.5 Normal Approximation of Poisson Probabilities 128
7.6 The Exponential Probability Distribution 128
7.7 Using Excel and Minitab 129
CHAPTER 8 Sampling Distributions and Confidence Intervals
for the Mean 142
8.1 Point Estimation of a Population or Process Parameter 142
8.2 The Concept of a Sampling Distribution 143
8.3 Sampling Distribution of the Mean 143
8.4 The Central Limit Theorem 145
8.5 Determining Probability Values for the Sample Mean 145
8.6 Confidence Intervals for the Mean Using the Normal
Distribution 146
8.7 Determining the Required Sample Size for Estimating the
Mean 147
8.8 The t Distribution and Confidence Intervals for the Mean 148
8.9 Summary Table for Interval Estimation of the Population
Mean 149
8.10 Using Excel and Minitab 149
CHAPTER 9 Other Confidence Intervals 160
9.1 Confidence Intervals for the Difference Between Two Means
Using the Normal Distribution 160
9.2 The t Distribution and Confidence Intervals for the Difference
Between Two Means 161
9.3 Confidence Intervals for the Population Proportion 162
9.4 Determining the Required Sample Size for Estimating the
Proportion 163
9.5 Confidence Intervals for the Difference Between Two
Proportions 163
9.6 The Chi Square Distribution and Confidence Intervals for the
Variance and Standard Deviation 164
9.7 Using Excel and Minitab 165
CHAPTER 10 Testing Hypotheses Concerning the Value of the
Population Mean 174
10.1 Introduction 174
x CONTENTS
10.2 Basic Steps in Hypothesis Testing by the Critical Value
Approach 175
10.3 Testing a Hypothesis Concerning the Mean by Use of the
Normal Distribution 176
10.4 Type I and Type II Errors in Hypothesis Testing 179
10.5 Determining the Required Sample Size for Testing the Mean 181
10.6 Testing a Hypothesis Concerning the Mean by Use of the t
Distribution 182
10.7 The P Value Approach to Testing Hypotheses Concerning
the Population Mean 182
10.8 The Confidence Interval Approach to Testing Hypotheses
Concerning the Mean 183
10.9 Testing with Respect to the Process Mean in Statistical
Process Control 184
10.10 Summary Table for Testing a Hypothesized Value of the
Mean 184
10.11 Using Excel and Minitab 185
CHAPTER 11 Testing Other Hypotheses 197
11.1 Testing the Difference Between Two Means Using the
Normal Distribution 197
11.2 Testing the Difference Between Means Using the t
Distribution 199
11.3 Testing the Difference Between Means Based on Paired
Observations 200
11.4 Testing a Hypothesis Concerning the Value of the Population
Proportion 201
11.5 Determining the Required Sample Size for Testing the
Proportion 202
11.6 Testing with Respect to the Process Proportion in Statistical
Process Control 203
11.7 Testing the Difference Between Two Population Proportions 203
11.8 Testing a Hypothesized Value of the Variance Using the
Chi Square Distribution 204
11.9 Testing with Respect to Process Variability in Statistical
Process Control 204
11.10 The F Distribution and Testing the Equality of Two
Population Variances 205
11.11 Alternative Approaches to Testing Null Hypotheses 206
11.12 Using Excel and Minitab 207
CHAPTER 12 The Chi Square Test for the Analysis of
Qualitative Data 219
12.1 General Purpose of the Chi Square Test 219
12.2 Goodness of Fit Tests 219
CONTENTS xi
12.3 Tests for the Independence of Two Categorical Variables
(Contingency Table Tests) 222
12.4 Testing Hypotheses Concerning Proportions 223
12.5 Using Computer Software 226
CHAPTER 13 Analysis of Variance 241
13.1 Basic Rationale Associated with Testing the Differences
Among Several Population Means 241
13.2 One Factor Completely Randomized Design (One Way
ANOVA) 242
13.3 Two Way Analysis of Variance (Two Way ANOVA) 243
13.4 The Randomized Block Design (Two Way ANOVA, One
Observation per Cell) 243
13.5 Two Factor Completely Randomized Design (Two Way
ANOVA, n Observations per Cell) 244
13.6 Additional Considerations 245
13.7 Using Excel and Minitab 246
CHAPTER 14 Linear Regression and Correlation Analysis 263
14.1 Objectives and Assumptions of Regression Analysis 263
14.2 The Scatter Plot 264
14.3 The Method of Least Squares for Fitting a Regression Line 265
14.4 Residuals and Residual Plots 265
14.5 The Standard Error of Estimate 266
14.6 Inferences Concerning the Slope 266
14.7 Confidence Intervals for the Conditional Mean 267
14.8 Prediction Intervals for Individual Values of the Dependent
Variable 267
14.9 Objectives and Assumptions of Correlation Analysis 268
14.10 The Coefficient of Determination 268
14.11 The Coefficient of Correlation 269
14.12 The Covariance Approach to Understanding the Correlation
Coefficient 270
14.13 Significance Testing with Respect to the Correlation
Coefficient 271
14.14 Pitfalls and Limitations Associated with Regression and
Correlation Analysis 271
14.15 Using Excel and Minitab 271
CHAPTER 15 Multiple Regression and Correlation 283
15.1 Objectives and Assumptions of Multiple Regression Analysis 283
15.2 Additional Concepts in Multiple Regression Analysis 284
15.3 The Use of Indicator (Dummy) Variables 284
15.4 Residuals and Residual Plots 285
xii CONTENTS
15.5 Analysis of Variance in Linear Regression Analysis 285
15.6 Objectives and Assumptions of Multiple Correlation Analysis 287
15.7 Additional Concepts in Multiple Correlation Analysis 287
15.8 Pitfalls and Limitations Associated with Multiple Regression
and Multiple Correlation Analysis 288
15.9 Using Excel and Minitab 288
CHAPTER 16 Time Series Analysis and Business Forecasting 296
16.1 The Classical Time Series Model 296
16.2 Trend Analysis 297
16.3 Analysis of Cyclical Variations 298
16.4 Measurement of Seasonal Variations 299
16.5 Applying Seasonal Adjustments 299
16.6 Forecasting Based on Trend and Seasonal Factors 300
16.7 Cyclical Forecasting and Business Indicators 301
16.8 Forecasting Based on Moving Averages 301
16.9 Exponential Smoothing as a Forecasting Method 301
16.10 Other Forecasting Methods That Incorporate Smoothing 302
16.11 Using Computer Software 303
CHAPTER 17 Nonparametric Statistics 318
17.1 Scales of Measurement 318
17.2 Parametric vs. Nonparametric Statistical Methods 319
17.3 The Runs Test for Randomness 319
17.4 One Sample: The Sign Test 320
17.5 One Sample: The Wilcoxon Test 320
17.6 Two Independent Samples: The Mann Whitney Test 321
17.7 Paired Observations: The Sign Test 322
17.8 Paired Observations: The Wilcoxon Test 322
17.9 Several Independent Samples: The Kruskal Wallis Test 322
17.10 Using Minitab 323
CHAPTER 18 Decision Analysis: Payoff Tables and Decision
Trees 336
18.1 The Structure of Payoff Tables 336
18.2 Decision Making Based upon Probabilities Alone 337
18.3 Decision Making Based upon Economic Consequences Alone 338
18.4 Decision Making Based upon Both Probabilities and
Economic Consequences: The Expected Payoff Criterion 340
18.5 Decision Tree Analysis 342
18.6 Expected Utility as the Decision Criterion 342
i
I
I
CONTENTS xiii
CHAPTER 19 Statistical Process Control 356
19.1 Total Quality Management 356
19.2 Statistical Quality Control 357
19.3 Types of Variation in Processes 358
19.4 Control Charts 358
19.5 Control Charts for the Process Mean:_X Charts 359
19.6 Standard Tests Used for Interpreting X Charts 360
19.7 Control Charts for the Process Standard Deviation: s Charts 362
19.8 Control Charts for the Process Range: R Charts 362
19.9 Control Charts for the Process Proportion: p Charts 363
19.10 Using Minitab 364
APPENDIX 1 Table of Random Numbers 377
APPENDIX 2 Binomial Probabilities 378
APPENDIX 3 Values of ex 382
APPENDIX 4 Poission Probabilities 383
APPENDIX 5 Proportions of Area for the Standard Normal
Distribution 388
APPENDIX 6 Proportions of Area for the t Distribution 390
APPENDIX 7 Proportions of Area for the 2 Distribution 391
APPENDIX 8 Values of F Exceeded with Probabilities of 5%
and 1% 393
APPENDIX 9 Factors for Control Charts 397
APPENDIX 10 Critical Values of Tin the Wilcoxon Test 398
INDEX 401
|
| any_adam_object | 1 |
| author | Kazmier, Leonard J. 1930- |
| author_GND | (DE-588)172181771 |
| author_facet | Kazmier, Leonard J. 1930- |
| author_role | aut |
| author_sort | Kazmier, Leonard J. 1930- |
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| bvnumber | BV014664247 |
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| callnumber-subject | HF - Commerce |
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| ctrlnum | (OCoLC)759583928 (DE-599)BVBBV014664247 |
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.00182 |
| dewey-search | 658.00182 |
| dewey-sort | 3658.00182 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 4. ed. |
| format | Book |
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| spelling | Kazmier, Leonard J. 1930- Verfasser (DE-588)172181771 aut Schaum's outline of theory and problems of business statistics Leonard J. Kazmier Theory and problems of business statistics 4. ed. New York u.a. McGraw-Hill 2004 XIII, 404 graph. Darst. txt rdacontent n rdamedia nc rdacarrier Schaum's outline series Wirtschaft Commercial statistics Economics Statistical methods Wirtschaftswissenschaften (DE-588)4066528-8 gnd rswk-swf Methode (DE-588)4038971-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Wirtschaftsstatistik (DE-588)4066517-3 gnd rswk-swf (DE-588)4143389-0 Aufgabensammlung gnd-content (DE-588)4123623-3 Lehrbuch gnd-content Wirtschaftsstatistik (DE-588)4066517-3 s Methode (DE-588)4038971-6 s 1\p DE-604 Wirtschaftswissenschaften (DE-588)4066528-8 s Statistik (DE-588)4056995-0 s 2\p DE-604 http://www.loc.gov/catdir/description/mh051/2004275101.html Publisher description HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009952323&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 |
| spellingShingle | Kazmier, Leonard J. 1930- Schaum's outline of theory and problems of business statistics Wirtschaft Commercial statistics Economics Statistical methods Wirtschaftswissenschaften (DE-588)4066528-8 gnd Methode (DE-588)4038971-6 gnd Statistik (DE-588)4056995-0 gnd Wirtschaftsstatistik (DE-588)4066517-3 gnd |
| subject_GND | (DE-588)4066528-8 (DE-588)4038971-6 (DE-588)4056995-0 (DE-588)4066517-3 (DE-588)4143389-0 (DE-588)4123623-3 |
| title | Schaum's outline of theory and problems of business statistics |
| title_alt | Theory and problems of business statistics |
| title_auth | Schaum's outline of theory and problems of business statistics |
| title_exact_search | Schaum's outline of theory and problems of business statistics |
| title_full | Schaum's outline of theory and problems of business statistics Leonard J. Kazmier |
| title_fullStr | Schaum's outline of theory and problems of business statistics Leonard J. Kazmier |
| title_full_unstemmed | Schaum's outline of theory and problems of business statistics Leonard J. Kazmier |
| title_short | Schaum's outline of theory and problems of business statistics |
| title_sort | schaum s outline of theory and problems of business statistics |
| topic | Wirtschaft Commercial statistics Economics Statistical methods Wirtschaftswissenschaften (DE-588)4066528-8 gnd Methode (DE-588)4038971-6 gnd Statistik (DE-588)4056995-0 gnd Wirtschaftsstatistik (DE-588)4066517-3 gnd |
| topic_facet | Wirtschaft Commercial statistics Economics Statistical methods Wirtschaftswissenschaften Methode Statistik Wirtschaftsstatistik Aufgabensammlung Lehrbuch |
| url | http://www.loc.gov/catdir/description/mh051/2004275101.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009952323&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT kazmierleonardj schaumsoutlineoftheoryandproblemsofbusinessstatistics AT kazmierleonardj theoryandproblemsofbusinessstatistics |