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Statistics without mathematics / David J. Bartholomew.

By: Bartholomew, David J [author.]Material type: TextTextPublisher: Los Angeles : London : SAGE, [2016]Copyright date: ©2016Description: xiii, 174 pages : illustrations ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781473902442; 1473902444; 9781473902459; 1473902452Subject(s): Statistics | Statistics | Matematisk statistik | Statistik | Statistisk metod | Statistisk teoriDDC classification: 001.4/22 LOC classification: HA29 | . B28
Contents:
Before we begin -- Picturing variability -- Interpreting variability -- Three standard distributions -- Summarising variation -- The analysis of variation -- Covariation -- Sampling -- Introduction to the ideas of inference -- Sampling distributions and more on inference -- Inference about averages -- Binary data -- Goodness of fit -- Unobserved variables -- Retrospect.
Summary: "An ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language. It introduces the intuitive thinking behind standard procedures, explores the process of informal reasoning, and uses conceptual frameworks to provide a foundation for students new to statistics. It showcases the expertise we have all developed from living in a data saturated society, increases statistical literacy and offers the tools needed to approach statistical mathematics with confidence"--Back cover.
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Item type Current library Call number Copy number Status Date due Barcode
AAMUSTED Books AAMUSTED Books AAMUSTED LIBRARY, KUMASI
Reference
HA29 . B28 2016 (Browse shelf(Opens below)) 1 Available 0000000025
AAMUSTED Books AAMUSTED Books AAMUSTED LIBRARY, KUMASI
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HA29 . B28 2016 (Browse shelf(Opens below)) 2 Available 0000000008

Includes bibliographical references and index.

Before we begin -- Picturing variability -- Interpreting variability -- Three standard distributions -- Summarising variation -- The analysis of variation -- Covariation -- Sampling -- Introduction to the ideas of inference -- Sampling distributions and more on inference -- Inference about averages -- Binary data -- Goodness of fit -- Unobserved variables -- Retrospect.

"An ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language. It introduces the intuitive thinking behind standard procedures, explores the process of informal reasoning, and uses conceptual frameworks to provide a foundation for students new to statistics. It showcases the expertise we have all developed from living in a data saturated society, increases statistical literacy and offers the tools needed to approach statistical mathematics with confidence"--Back cover.

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