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Essentials of statistics / Mario F. Triola

By: Material type: TextTextPublication details: Boston, MA : Pearson Education, c2011Edition: 4th edDescription: xxi, 696 p. : ill. ; 28 cm. + 1 CD-ROM (4 3/4 in.)ISBN:
  • 0321641493
  • 9780321641496
  • 9780321721693 (pbk., IE)
  • 0321721691 (pbk., IE)
  • 9781256466529
  • 1256466522
Subject(s): DDC classification:
  • 519.5 22
LOC classification:
  • QA276.12 .T776 2011
Contents:
1. Introduction to statistics -- 2. Summarizing and graphing data -- 3. Statistics for describing, exploring, and comparing data -- 4. Probability -- 5. Discrete probability distributions -- 6. Normal probability distributions -- 7. Estimates and sample sizes -- 8. Hypothesis testing -- 9. Inferences from two samples -- 10. Correlation and regression -- 11. Chi-square and analysis of variance
Summary: 1. Introduction to statistics -- 2. Summarizing and graphing data -- 3. Statistics for describing, exploring, and comparing data -- 4. Probability -- 5. Discrete probability distributions -- 6. Normal probability distributions -- 7. Estimates and sample sizes -- 8. Hypothesis testing -- 9. Inferences from two samples -- 10. Correlation and regression -- 11. Chi-square and analysis of variance
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books Centeral Library Second Floor - Engineering & Architecture 519.5 T.M.S 2011 (Browse shelf(Opens below)) Available 21607

1. Introduction to statistics -- 2. Summarizing and graphing data -- 3. Statistics for describing, exploring, and comparing data -- 4. Probability -- 5. Discrete probability distributions -- 6. Normal probability distributions -- 7. Estimates and sample sizes -- 8. Hypothesis testing -- 9. Inferences from two samples -- 10. Correlation and regression -- 11. Chi-square and analysis of variance

1. Introduction to statistics -- 2. Summarizing and graphing data -- 3. Statistics for describing, exploring, and comparing data -- 4. Probability -- 5. Discrete probability distributions -- 6. Normal probability distributions -- 7. Estimates and sample sizes -- 8. Hypothesis testing -- 9. Inferences from two samples -- 10. Correlation and regression -- 11. Chi-square and analysis of variance

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