Statistics for Business and Economics, Global Edition (eBook, PDF)
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Statistics for Business and Economics, Global Edition (eBook, PDF)
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A classic text for accuracy and statistical precision.
Statistics for Business and Economics enables readers to conduct serious analysis of applied problems rather than running simple "canned" applications. This text is also at a mathematically higher level than most business statistics texts and provides readers with the knowledge they need to become stronger analysts for future managerial positions.
The eighth edition of this book has been revised and updated to provide readers with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.…mehr
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Statistics for Business and Economics enables readers to conduct serious analysis of applied problems rather than running simple "canned" applications. This text is also at a mathematically higher level than most business statistics texts and provides readers with the knowledge they need to become stronger analysts for future managerial positions.
The eighth edition of this book has been revised and updated to provide readers with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
- Produktdetails
- Verlag: Pearson ITP
- Altersempfehlung: ab 18 Jahre
- Erscheinungstermin: 24. Mai 2022
- Englisch
- ISBN-13: 9781292436906
- Artikelnr.: 64133544
- Verlag: Pearson ITP
- Altersempfehlung: ab 18 Jahre
- Erscheinungstermin: 24. Mai 2022
- Englisch
- ISBN-13: 9781292436906
- Artikelnr.: 64133544
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Dr. Betty M. Thorne, author, researcher, and award-winning teacher, is a professor of statistics in the School of Business Administration at Stetson University in DeLand, Florida. Winner of Stetson University's McEniry Award for Excellence in Teaching, the highest honor given to a Stetson University faculty member, Dr. Thorne is also the recipient of the Outstanding Teacher of the Year Award and Professor of the Year Award in the School of Business Administration at Stetson. Dr. Thorne teaches in Stetson University's undergraduate business program in DeLand, Florida, and also in Stetson's summer program in Innsbruck, Austria; Stetson University's College of Law; Stetson University's Executive MBA program; and Stetson University's Executive Passport program. Dr. Thorne has received various teaching awards in the JD/MBA program at Stetson's College of Law" in Gulfport, Florida. She received her BS degree from Geneva College and MA and PhD degrees from Indiana University. She has co-authored statistics textbooks which have been translated into several languages and adopted by universities, nationally and internationally. She serves on key school and university committees. Dr. Thorne, whose research has been published in various refereed journals, is a member of the American Statistical Association, the Decision Science Institute, Beta Alpha Psi, Beta Gamma Sigma, and the Academy of International Business. She and her husband, Jim, have four children. They travel extensively, attend theological conferences and seminars, participate in international organizations dedicated to helping disadvantaged children, and do missionary work in Romania.
2. Describing Data: Numerical
3. Probability
4. Discrete Random Variables and Probability Distributions
5. Continuous Random Variables and Probability Distributions
6. Sampling and Sampling Distributions
7. Estimation: Single Population
8. Estimation: Additional Topics
9. Hypothesis Testing: Single Population
10. Hypothesis Testing: Additional Topics
11. Simple Regression
12. Multiple Regression
13. Additional Topics in Regression Analysis
14. Analysis of Categorical Data
15. Analysis of Variance
16. Time-Series Analysis and Forecasting
17. Additional Topics in Sampling
2. Describing Data: Numerical
3. Probability
4. Discrete Random Variables and Probability Distributions
5. Continuous Random Variables and Probability Distributions
6. Sampling and Sampling Distributions
7. Estimation: Single Population
8. Estimation: Additional Topics
9. Hypothesis Testing: Single Population
10. Hypothesis Testing: Additional Topics
11. Simple Regression
12. Multiple Regression
13. Additional Topics in Regression Analysis
14. Analysis of Categorical Data
15. Analysis of Variance
16. Time-Series Analysis and Forecasting
17. Additional Topics in Sampling