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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 (cloth)
  • 0470392223 (cloth)
Subject(s): DDC classification:
  • 519.5 22
LOC classification:
  • QA276.12 .W57 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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Item type Current library Call number Status Date due Barcode
Books Books University of Sargodha-Central Library 519.5 WIS (Browse shelf(Opens below)) Available 78462

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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