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Business statistics / Leonard J. Kazmier

By: Material type: TextTextPublication details: New-York: McGraw-Hill; 2004Edition: 4thDescription: 404 pISBN:
  • 9780071635271
Subject(s): DDC classification:
  • 519.5 Ka Bu
Contents:
Schaum's Outline of Business Statistics, 4ed 1. Analyzing Business Data 2. Statistical Presentations and Graphical Displays 3. Describing Business Data: Measures of Location 4. Describing Business Data: Measures of Dispersion 5. Probability 6. Probability Distributions for Discrete Random Variables: Binomial, Hypergeometric, and Poission 7. Probability Distributions for Continuous Random Variables: Normal and Exponential 8. Sampling Distributions and Confidence Intervals for the Mean 9. Other Confidence Intervals 10. Testing Hypotheses Concerning the Value of a Population Mean 11. Testing Other Hypotheses 12. The Chi-Square Test for the Analysis of Qualitative Data 13. Analysis of Variance 14. Linear Regression and Correlation Analysis 15. Multiple Regression and Correlation 16. Time Series Analysis and Business Forecasting 17. Nonparametric Statistics 18. Decision Analysis: Payoff Tables and Decision Trees 19. Statistical Process Control
Item type: Book
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Book KCST Library 519.5 Ka Bu (Browse shelf(Opens below)) Available 1000001284


Schaum's Outline of Business Statistics, 4ed 1. Analyzing Business Data 2. Statistical Presentations and Graphical Displays 3. Describing Business Data: Measures of Location 4. Describing Business Data: Measures of Dispersion 5. Probability 6. Probability Distributions for Discrete Random Variables: Binomial, Hypergeometric, and Poission 7. Probability Distributions for Continuous Random Variables: Normal and Exponential 8. Sampling Distributions and Confidence Intervals for the Mean 9. Other Confidence Intervals 10. Testing Hypotheses Concerning the Value of a Population Mean 11. Testing Other Hypotheses 12. The Chi-Square Test for the Analysis of Qualitative Data 13. Analysis of Variance 14. Linear Regression and Correlation Analysis 15. Multiple Regression and Correlation 16. Time Series Analysis and Business Forecasting 17. Nonparametric Statistics 18. Decision Analysis: Payoff Tables and Decision Trees 19. Statistical Process Control

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