Introductory Statistics
Autor Sheldon M. Rossen Limba Engleză Paperback – sep 2026
Concepts are motivated, illustrated, and explained in a way that attempts to increase one's intuition. To quote from the preface, it is only when a student develops a feel or intuition for statistics that they are really on the path toward making sense of data. Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions, and examples.
Applications and examples refer to real-world issues, such as gun control, stock price models, vaccines and other health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud, and many others.
- Includes the most commonly used statistical software packages (SAS, SPSS, Minitab, R
- Presents a unique, historical perspective, profiling prominent statisticians and historical events to motivate learning by including interest and context
- Offers exercises and examples that help guide the student towards independent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud, analytics and big data
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 623.30 lei Precomandă | |
| ELSEVIER SCIENCE – sep 2026 | 623.30 lei Precomandă | |
| Hardback (1) | 612.09 lei 5-7 săpt. | |
| ELSEVIER SCIENCE – 7 feb 2017 | 612.09 lei 5-7 săpt. |
Preț: 623.30 lei
Preț vechi: 684.95 lei
-9% Precomandă
Puncte Express: 935
Preț estimativ în valută:
110.13€ • 126.95$ • 96.15£
110.13€ • 126.95$ • 96.15£
Carte nepublicată încă
Doresc să fiu notificat când acest titlu va fi disponibil:
Se trimite...
Specificații
ISBN-13: 9780443438905
ISBN-10: 0443438900
Pagini: 824
Dimensiuni: 191 x 235 mm
Ediția:5
Editura: ELSEVIER SCIENCE
ISBN-10: 0443438900
Pagini: 824
Dimensiuni: 191 x 235 mm
Ediția:5
Editura: ELSEVIER SCIENCE
Cuprins
1. Introduction to Statistics
2. Describing Data Sets
3. Using Statistics to Summarize Data
4. Probability
5. Discrete Random Variables
6. Normal Random Variables
7. Distribution of sampling Statistics
8. Statistical Estimation
9. Testing Statistical Hypotheses
10. Hypothesis Testing concerning two populations
11. Analysis of Variance
12. Linear Regression
13. Chi-squared goodness of fit tests
14. Nonparametric Hypothesis Tests
15. Quality Control
16. Machine Learning and Big Data
APPENDIX A
APPENDIX B
ANSWERS TO ODD-NUMBERED PROBLEMS
Index
2. Describing Data Sets
3. Using Statistics to Summarize Data
4. Probability
5. Discrete Random Variables
6. Normal Random Variables
7. Distribution of sampling Statistics
8. Statistical Estimation
9. Testing Statistical Hypotheses
10. Hypothesis Testing concerning two populations
11. Analysis of Variance
12. Linear Regression
13. Chi-squared goodness of fit tests
14. Nonparametric Hypothesis Tests
15. Quality Control
16. Machine Learning and Big Data
APPENDIX A
APPENDIX B
ANSWERS TO ODD-NUMBERED PROBLEMS
Index
Recenzii
"The coverage is careful and slow, with many worked examples and plenty of problems, half of which have answers. ...Illuminating examples abound. Those who are less than wholly confident about any of the material will find it a rich and unthreatening resource of information and also of questions (even if they are almost all derived from a US context). I have been looking for some time for a properly academic superior to M.J. Moroney’s invaluable if outdated Facts from figures which I have used for forty years, and this would seem to fill the bill." --The Mathematical Gazette
"There are some interesting topics included that are not in most introductory stats texts, such as the Gini index, bandit problems, and quality control." --MAA Reviews
"There are some interesting topics included that are not in most introductory stats texts, such as the Gini index, bandit problems, and quality control." --MAA Reviews