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Statistics for Business & Economics, Global Edition
Taschenbuch von James McClave (u. a.)
Sprache: Englisch

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Kategorien:
Beschreibung

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 Scheff�'s MultipleComparisons Procedure (Pairwise Comparisons)

Appendix D: Tables

Answers to Selected Exercises

Index

Credits

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 Scheff�'s MultipleComparisons Procedure (Pairwise Comparisons)

Appendix D: Tables

Answers to Selected Exercises

Index

Credits

Details
Erscheinungsjahr: 2021
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781292413396
ISBN-10: 1292413395
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: McClave, James
Benson, P.
Sincich, Terry
Auflage: 14 ed
Hersteller: Pearson Education Limited
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 275 x 214 x 32 mm
Von/Mit: James McClave (u. a.)
Erscheinungsdatum: 24.11.2021
Gewicht: 1,884 kg
Artikel-ID: 120293290
Details
Erscheinungsjahr: 2021
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781292413396
ISBN-10: 1292413395
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: McClave, James
Benson, P.
Sincich, Terry
Auflage: 14 ed
Hersteller: Pearson Education Limited
Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Maße: 275 x 214 x 32 mm
Von/Mit: James McClave (u. a.)
Erscheinungsdatum: 24.11.2021
Gewicht: 1,884 kg
Artikel-ID: 120293290
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