Statistics for Business & Economics, Global Edition
Autor James McClave, P. Benson, Terry Sincichen Limba Engleză Paperback – 23 noi 2021
For courses in Introductory Business Statistics.
Real data. Real decisions. Real business.
Statistics for Business and Economics byMcClave, Benson, and Sincich introduces statistics in the context ofcontemporary business. Inference isemphasized, with extensive coverage of data collection and analysisas needed to evaluate the reported results of statistical studies and make gooddecisions. The authors apply concepts with realdata. Technology is used to help students develop statisticalthinking and understand the assessment of credibilityand the value of the inferences made from data GÇö both bythose who consume and by those who produce them. The 14thEdition continues to highlight the discussion of ethical, datadriven decision making.
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Specificații
ISBN-13: 9781292413396
ISBN-10: 1292413395
Pagini: 896
Dimensiuni: 214 x 275 x 32 mm
Greutate: 1.88 kg
Ediția:14 ed
Editura: Pearson Education
ISBN-10: 1292413395
Pagini: 896
Dimensiuni: 214 x 275 x 32 mm
Greutate: 1.88 kg
Ediția:14 ed
Editura: Pearson Education
Cuprins
1. Statistics, Data, and Statistical Thinking
2. Methods for Describing Sets of Data
3. Probability
4. Random Variables and Probability Distributions
5. Sampling Distributions
6. Inferences Based on a Single Sample: Estimation with ConfidenceIntervals
7. Inferences Based on a Single Sample: Tests of Hypotheses
8. Inferences Based on Two Samples: Confidence Intervals and Testsof Hypotheses
9. Design of Experiments and Analysis of Variance
10. Categorical Data Analysis
11. Simple Linear Regression
12. Multiple Regression and Model Building
13. Methods for Quality Improvement: Statistical Process Control(Available Online)
14. Time Series: Descriptive Analyses, Models, and Forecasting(Available Online)
15. Nonparametric Statistics (Available Online)
Appendix A: Summation Notation
Appendix B: Basic Counting Rules
Appendix C: Calculation Formulas for Analysis of Variance
C.1 Formulas for the Calculationsin the Completely Randomized Design
C.2 Formulas for the Calculationsin the Randomized Block Design
C.3 Formulas for the Calculationsfor a Two-Factor Factorial Experiment
C.4 Tukeys Multiple ComparisonsProcedure (Equal Sample Sizes)
C.5 Bonferroni MultipleComparisons Procedure (Pairwise Comparisons)
C.6 Scheff�s MultipleComparisons Procedure (Pairwise Comparisons)
Appendix D: Tables
Answers to Selected Exercises
Index
Credits
2. Methods for Describing Sets of Data
3. Probability
4. Random Variables and Probability Distributions
5. Sampling Distributions
6. Inferences Based on a Single Sample: Estimation with ConfidenceIntervals
7. Inferences Based on a Single Sample: Tests of Hypotheses
8. Inferences Based on Two Samples: Confidence Intervals and Testsof Hypotheses
9. Design of Experiments and Analysis of Variance
10. Categorical Data Analysis
11. Simple Linear Regression
12. Multiple Regression and Model Building
13. Methods for Quality Improvement: Statistical Process Control(Available Online)
14. Time Series: Descriptive Analyses, Models, and Forecasting(Available Online)
15. Nonparametric Statistics (Available Online)
Appendix A: Summation Notation
Appendix B: Basic Counting Rules
Appendix C: Calculation Formulas for Analysis of Variance
C.1 Formulas for the Calculationsin the Completely Randomized Design
C.2 Formulas for the Calculationsin the Randomized Block Design
C.3 Formulas for the Calculationsfor a Two-Factor Factorial Experiment
C.4 Tukeys Multiple ComparisonsProcedure (Equal Sample Sizes)
C.5 Bonferroni MultipleComparisons Procedure (Pairwise Comparisons)
C.6 Scheff�s MultipleComparisons Procedure (Pairwise Comparisons)
Appendix D: Tables
Answers to Selected Exercises
Index
Credits