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Statistics / Robert S. Witte, John S. Witte.

By: Contributor(s): Material type: TextTextPublication details: Hoboken, NJ : J. Wiley & Sons, c2010.Edition: 9th edDescription: xvii, 556 p. : ill. ; 25 cmISBN:
  • 9780470392225
Subject(s): LOC classification:
  • QA276.12 .W828 2010
Contents:
Describing data with tables and graphs -- Describing data with averages -- Describing variability -- Normal distributions and standard (z) scores -- Describing relationships : correlation -- Regression -- Populations, samples, and probability -- Populations and samples -- Probability -- Sampling distribution of the mean -- Introduction to hypothesis testing : the z test -- More about hypothesis testing -- Estimation (confidence intervals) -- t Test for one sample -- t Test for two independent samples -- t Test for two related samples (repeated measures) -- Analysis of variance (one factor) -- Analysis of variance (repeated measures) -- Analysis of variance (two factors) -- Chi-square (X²) test for qualitative (nominal) data -- Tests for ranked (ordinal) data -- Postscript : which test? -- Appendices. Math review ; Answers to selected questions ; Tables ; Glossary.
Summary: The authors of this highly accessible book provide business professionals with a clear and methodical approach to essential statistical procedures. --from publisher description
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Open Shelf Books Open Shelf Books ALGHAZALI LIBRARY Available to Loan ALGHAZALI LIBRARY Available to Loan BKS QA276.12 .W828 2010 (Browse shelf(Opens below)) 1/1 Available GHAZ13010372

Includes index.

Describing data with tables and graphs -- Describing data with averages -- Describing variability -- Normal distributions and standard (z) scores -- Describing relationships : correlation -- Regression -- Populations, samples, and probability -- Populations and samples -- Probability -- Sampling distribution of the mean -- Introduction to hypothesis testing : the z test -- More about hypothesis testing -- Estimation (confidence intervals) -- t Test for one sample -- t Test for two independent samples -- t Test for two related samples (repeated measures) -- Analysis of variance (one factor) -- Analysis of variance (repeated measures) -- Analysis of variance (two factors) -- Chi-square (X²) test for qualitative (nominal) data -- Tests for ranked (ordinal) data -- Postscript : which test? -- Appendices. Math review ; Answers to selected questions ; Tables ; Glossary.

The authors of this highly accessible book provide business professionals with a clear and methodical approach to essential statistical procedures. --from publisher description

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