Elementary Statistics Using Excel, Fourth Edition, offers a complete introduction to basic statistics, featuring extensive instruction on the use of Excel spreadsheets for data analysis. Extensive Excel (R) instructions are provided along with typical displays of results, as well as information about Excel's limitations and alternative approaches to problem-solving. Real data in many examples help readers see the prevalence of statistics in the real world.
The CD-ROM included with each copy of the book contains: DDXL (Version 2.0), a software add-in that enhances and expands the capability of Excel, and Appendix B data sets in the form of Excel workbooks.
Datasets and other resources (where applicable) for this book are available here.
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Maße
Höhe: 219 mm
Breite: 279 mm
Dicke: 35 mm
Gewicht
ISBN-13
978-0-321-56500-6 (9780321565006)
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Schweitzer Klassifikation
Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he has taught statistics for over 30 years. Marty is the author of Essentials of Statistics, Elementary Statistics Using Excel, Elementary Statistics Using the Graphing Calculator, and he is a co-author of Biostatistics for the Biological and Health Sciences, Statistical Reasoning for Everyday Life and Business Statistics. He has written several manuals and workbooks for technology supporting statistics education. Outside of the classroom, Marty has been a speaker at many conferences and colleges. His consulting work includes the design of casino slot machines and fishing rods, and he has worked with attorneys in determining probabilities in paternity lawsuits, identifying salary inequities based on gender, analyzing disputed election results, analyzing medical data, and analyzing medical school surveys. Marty has testified as an expert witness in New York State Supreme Court. The Text and Academic Authors Association has awarded Mario F. Triola a "Texty" for Excellence for his work on Elementary Statistics.
1. Introduction to Statistics
2. Summarizing and Graphing Data
3. Statistics for Describing, Exploring, and Comparing Data
4. Probability
5. Probability Distributions
6. Normal Probability Distributions
7. Estimates and Sample Sizes
8. Hypothesis Testing
9. Inferences from Two Samples
10. Correlation and Regression
11. Multinomial Experiments and Contingency Tables
12. Analysis of Variance
13. Nonparametric Statistics
14. Statistical Process Control
15. Projects, Procedures, Perspectives
