Statistical techniques in business and economics / Douglas A. Lind, William G. Marchal, Samuel A. Wathen.

By: Contributor(s): Material type: TextTextPublication details: New York, NY : McGraw Hill LLC, 2024.Edition: Nineteenth editionDescription: xxvi, [781 pages]; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781266283536
Subject(s): LOC classification:
  • 519.5 L6401 2024
Contents:
What is Statistics? -- Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation -- Describing Data: Numerical Measures -- Describing Data: Displaying and Exploring Data -- A Survey of Probability Concepts -- Discrete Probabilioty Distributions -- Sampling, Sampling Methods, and the Central Limit Theorem -- Estimation and Confidence Intervals -- One-Sample Tests of Hypothesis -- Two-Sample Tests of Hypothesis -- Analysis of Variance -- Correlation and Linear Regression -- Mutiple Regression Analysis -- Nonparametric Methods: Nominal Level Hypothesis Tests -- Nonparametric Methods: Analysis of Ordinal Data -- Index Numbers -- Forecasting with Time Series Analysis -- Statistical Process Control and Quality Management -- An Introduction to Decision Theory (Online Only)
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Holdings
Item type Current library Call number Status Barcode
Books Books FEU - Cavite Higher Education HED Library CIR 519.5 L6401 2024 (Browse shelf(Opens below)) Available HED6842

Includes index

in English

What is Statistics? -- Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation -- Describing Data: Numerical Measures -- Describing Data: Displaying and Exploring Data -- A Survey of Probability Concepts -- Discrete Probabilioty Distributions -- Sampling, Sampling Methods, and the Central Limit Theorem -- Estimation and Confidence Intervals -- One-Sample Tests of Hypothesis -- Two-Sample Tests of Hypothesis -- Analysis of Variance -- Correlation and Linear Regression -- Mutiple Regression Analysis -- Nonparametric Methods: Nominal Level Hypothesis Tests -- Nonparametric Methods: Analysis of Ordinal Data -- Index Numbers -- Forecasting with Time Series Analysis -- Statistical Process Control and Quality Management -- An Introduction to Decision Theory (Online Only)

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