MTU Library Catalogue

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Basic business statistics : concepts and applications, study guide and workbook / Mark L. Berenson, David M. Levine.

By: Berenson, Mark L.
Contributor(s): Levine, David M, 1946-.
Material type: materialTypeLabelBookPublisher: Englewood Cliffs, N.J. : Prentice Hall, 1993Edition: 5th ed.Description: 329 p. ; 28 cm. + pbk.ISBN: 0130996076.Subject(s): Commercial statistics | StatisticsDDC classification: 519.5
Contents:
Introduction -- Data collection -- Describing and summarizing data -- Data presentation -- Using the computer for descriptive statistical analysis -- Basic probability -- Some important discrete probability distributions -- The normal distribution -- Sampling distributions -- Estimation -- Hypothesis testing 1: introduction and concepts -- Hypothesis testing 2: differences between quantitative variables -- Hypothesis testing 3: difference between proportions and other Chi-square tests -- Analysis of variance -- Nonparametric methods -- The simple linear regression model and correlation -- Multiple regression models -- Index numbers, time series, and business forecasting -- Statistical applications in quality and productivity management.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 519.5 (Browse shelf(Opens below)) 1 Available 00094315
Total holds: 0

Introduction -- Data collection -- Describing and summarizing data -- Data presentation -- Using the computer for descriptive statistical analysis -- Basic probability -- Some important discrete probability distributions -- The normal distribution -- Sampling distributions -- Estimation -- Hypothesis testing 1: introduction and concepts -- Hypothesis testing 2: differences between quantitative variables -- Hypothesis testing 3: difference between proportions and other Chi-square tests -- Analysis of variance -- Nonparametric methods -- The simple linear regression model and correlation -- Multiple regression models -- Index numbers, time series, and business forecasting -- Statistical applications in quality and productivity management.