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Intermediate statistics for graduate school / Marmelo V. Abante, Rene Boy R. Bacay, Erika F. Bacay, Melchor S. Julianes, and Elenita M. Tiamzon ; co-authors, Donna Myra A. Garcia, Ver P. Pangasian, and Bernadette B. Enriquez.

By: Contributor(s): Material type: TextTextQuezon City : Unlimited Books, 2025Description: xii, 232 pages ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9786214272983
Subject(s): LOC classification:
  • GRAD FIL QA 276 A23 2025
Contents:
ch. 1. Introduction to business statsitics and data analysis. -- ch. 2. Understanding the impact of statistics in decision-making. -- ch. 3. Fundamentals of probability for business decision-making. -- ch. 4. Understanding discrete and continuous probability distributions. -- ch. 5. Introduction to hypothesis testing in business research. -- ch. 6. Advanced hypothesis testing: paired and comparative analysis. -- ch. 7. Applying reggresion analysis in business and management. -- ch. 8. Analyzing differences across groups with ANOVA. -- ch. 9. When data defy assumptions : non-parametric statistical tools. -- ch. 10. Business forecasting and time series analysis. -- ch. 11. Statistical decision theory for manegrs and policymakers. -- ch. 12. Multivariate statistical methods in management and public policy. -- ch. 13. Evidence-based policymaking and business intelligence. -- ch. 14. Risk analysis and management using statistics. -- ch. 15. Big data and predictive analytics in business and policy.
List(s) this item appears in: EAC Library Cavite - Business Administration
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Item type Current library Call number Status Barcode
Books EAC Library Cavite EAC Cavite-Graduate School GRAD FIL QA 276 A23 2025 (Browse shelf(Opens below)) Available ML19664

Includes bibliographical references

ch. 1. Introduction to business statsitics and data analysis. -- ch. 2. Understanding the impact of statistics in decision-making. -- ch. 3. Fundamentals of probability for business decision-making. -- ch. 4. Understanding discrete and continuous probability distributions. -- ch. 5. Introduction to hypothesis testing in business research. -- ch. 6. Advanced hypothesis testing: paired and comparative analysis. -- ch. 7. Applying reggresion analysis in business and management. -- ch. 8. Analyzing differences across groups with ANOVA. -- ch. 9. When data defy assumptions : non-parametric statistical tools. -- ch. 10. Business forecasting and time series analysis. -- ch. 11. Statistical decision theory for manegrs and policymakers. -- ch. 12. Multivariate statistical methods in management and public policy. -- ch. 13. Evidence-based policymaking and business intelligence. -- ch. 14. Risk analysis and management using statistics. -- ch. 15. Big data and predictive analytics in business and policy.

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