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Introductory statistics for management and economics / James L. Kenkel.

By: Material type: TextTextPublication details: Belmont : Duxbury Press, c1996.Edition: 4th edDescription: xv, 1099 p. : ill. (some col.) ; 24 cmISBN:
  • 0534203701 (casebound : acidfree paper)
Other title:
  • Management and economics
Subject(s): DDC classification:
  • 519.5 20
LOC classification:
  • HA29 .K428 1996
Contents:
Data collection and sampling theory -- Summarizing data in tables and graphs -- Summary statistics: measures of location and dispersion -- Introductory to probability -- Discrete probability distributions -- Some important discrete distributions -- Some useful continuous probability distributions -- Sampling theory and some important sampling distributions -- Estimating and constructing confidence intervals -- Hypothesis testing -- Tests of hypothesis involving two populations -- Chi-square tests -- Analysis of variance -- Regression and correlation -- Multiple regression models -- Special topics in multiple regression analysis -- Residual analysis and violations at the basic assumptions -- Time series analysis I: estimation of the trend component -- Time series analysis II: estimation of the seasonal component -- Some nonparametric tests -- Introduction to statistical decision theory -- Quality control -- Transparency masters.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Zetech Library - Mang'u General Stacks Non-fiction HA29.K428 1996 (Browse shelf(Opens below)) C.2 Available Z007072
Books Books Zetech Library - Mang'u General Stacks Non-fiction HA29.K428 1996 (Browse shelf(Opens below)) C1 Available Z006671

Includes bibliographical references and index.

Data collection and sampling theory -- Summarizing data in tables and graphs -- Summary statistics: measures of location and dispersion -- Introductory to probability -- Discrete probability distributions -- Some important discrete distributions -- Some useful continuous probability distributions -- Sampling theory and some important sampling distributions -- Estimating and constructing confidence intervals -- Hypothesis testing -- Tests of hypothesis involving two populations -- Chi-square tests -- Analysis of variance -- Regression and correlation -- Multiple regression models -- Special topics in multiple regression analysis -- Residual analysis and violations at the basic assumptions -- Time series analysis I: estimation of the trend component -- Time series analysis II: estimation of the seasonal component -- Some nonparametric tests -- Introduction to statistical decision theory -- Quality control -- Transparency masters.

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