Pearson eText Access Card for Statistics for Business and Economics, Global Edition
14th Edition
Published on 30. March 2022
Software
Product license key
978-1-292-41903-9 (ISBN)
More details
Persons
Dr. Jim McClave is currently President and CEO ofInfo Tech, Inc., a statistical consulting and software development firm with aninternational clientele. He is also a Courtesy Professor ofStatistics at the University of Florida, where he was a full-time member of thefaculty for over 20 years.
Dr. Terry Sincich obtained his PhD inStatistics from the University of Florida in 1980. He is a ProfessorEmeritus of the Information Systems & Decision SciencesDepartment at the University of South Florida in Tampa, where hewas responsible for teaching basic statistics to all undergraduates, aswell as advanced statistics to all doctoral candidates, in the College ofBusiness Administration. He has published articles in such journals asthe Journal of the American Statistical Association, InternationalJournal of Forecasting, Academy of Management Journal,and Auditing: A Journal of Practice & Theory.Dr. Sincich is a co-author of the texts: Statistics, Statisticsfor Business & Economics, Statistics for Engineering & theSciences, and A Second Course in Statistics: Regression Analysis.
Dr. Terry Sincich obtained his PhD inStatistics from the University of Florida in 1980. He is a ProfessorEmeritus of the Information Systems & Decision SciencesDepartment at the University of South Florida in Tampa, where hewas responsible for teaching basic statistics to all undergraduates, aswell as advanced statistics to all doctoral candidates, in the College ofBusiness Administration. He has published articles in such journals asthe Journal of the American Statistical Association, InternationalJournal of Forecasting, Academy of Management Journal,and Auditing: A Journal of Practice & Theory.Dr. Sincich is a co-author of the texts: Statistics, Statisticsfor Business & Economics, Statistics for Engineering & theSciences, and A Second Course in Statistics: Regression Analysis.
Content
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 Tukey's Multiple ComparisonsProcedure (Equal Sample Sizes)
C.5 Bonferroni MultipleComparisons Procedure (Pairwise Comparisons)
C.6 Scheffe'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 Tukey's Multiple ComparisonsProcedure (Equal Sample Sizes)
C.5 Bonferroni MultipleComparisons Procedure (Pairwise Comparisons)
C.6 Scheffe's MultipleComparisons Procedure (Pairwise Comparisons)
Appendix D: Tables
Answers to Selected Exercises
Index
Credits