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Essentials of statistics / Mario F. Triola

By: Triola, Mario F
Material type: TextTextPublisher: 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; 1256466522Subject(s): Statistics | Statistics as TopicDDC classification: 519.5 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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Item type Current location Call number Status Date due Barcode
Books Books Centeral Library
Second Floor - Engineering & Architecture 		519.5 T.M.S 2011 (Browse shelf) 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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