Business and economics statistics with computer applications / William E. Becker and Donald L. Harnett
Material type:
- 201109565
- HA 29 .B43 1987

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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National University - Manila | LRC - Annex Relegation Room | Gen. Ed. - CBA | GC HA 29 .B43 1987 c.1 (Browse shelf(Opens below)) | c.1 | Available | NULIB000005408 | ||
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National University - Manila | LRC - Annex Relegation Room | Gen. Ed. - CBA | GC HA 29 .B43 1987 c.2 (Browse shelf(Opens below)) | c.2 | Available | NULIB000005443 |
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FIL HJ 324 .A44 1983 Digest of Supreme Court decisions on tax cases / | FIL KF 5616.9 .N65 1989 Partial dentures / Annotated / | GC H 5549.5 .O47 1981 Performance appraisal / | GC HA 29 .B43 1987 c.1 Business and economics statistics with computer applications / | GC HA 29 .B43 1987 c.2 Business and economics statistics with computer applications / | GC HA 29 .B47 1985 Statistics for the helping professions / | GC HA 29 .L37 1972 Statistics for modern business decisions / |
Includes index.
Chapter 1. Data Collection -- Chapter 2. Descriptive Statistics: Graphs and Index Numbers -- Chapter 3. Descriptive Statistics: Location and Dispersion -- Chapter 4. Probability Concepts and Random Variables -- Chapter 5. The Binomial, Hypergeometric, and Poisson Distributions -- Chapter 6. Continuous Probability Distributions -- Chapter 7. Estimation -- Chapter 8. Hypothesis Testing -- Chapter 9. Simple Linear Regression and Correlation -- Chapter 10. Multiple Regression: Cross-Section and Time-Series Analysis -- Chapter 11. Analysis of Variance -- Chapter 12. Statistical Decision Theory -- Chapter 13. Nonparametric Statistics.
The primary objective of this book is to provide students with an introductory one-semester text that will assist them in applying statistical analysis to real-world business and economics problems. Since easy-to-use statistical computer packages are now readily available, our examples and case studies emphasize the use of micro or mainframe computers to perform cumbersome calculations. Computational procedures are presented and demonstrated only to the extent they assist students in understanding the statistical principles involved in the analysis.
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