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Introduction to statistics

By: Contributor(s): Material type: TextTextPublication details: New York : McGraw-Hill Companies, ©1997.Description: xiii, 622, A100 pages : illustrationsISBN:
  • 9780070425286
  • 0070425280
Subject(s): DDC classification:
  • 519.5 MIL
Contents:
Descriptive statistics; probability and counting; random variables - discrete distributions; continuous distributions - the normal curve; inferences on a single mean and a single variable; inferences on proportions; statistical quality control; comparison of two variances and two means; regression and correlation; categorical data; analysis of varianve; some distribution-free alternaives.
Summary: This non-calculus introduction to statistics provides an intuitive treatment of both statistics and probability, with a strong emphasis on applications and problem solving. It offers a hands-on approach to learning statistics through 22 student experiments and real-world problems and exercises. The author provides pointers to ways in which statistical software packages, as well as scientific and graphics calculators, can be used by students to perform time-consuming computations while helping them to better focus on the concepts. Exercises are based on data taken from business, psychology, health, medicine, sports and other areas.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library Reference REF 519.5 MIL (Browse shelf(Opens below)) Available 006550
Total holds: 0

Index annexed

Descriptive statistics; probability and counting; random variables - discrete distributions; continuous distributions - the normal curve; inferences on a single mean and a single variable; inferences on proportions; statistical quality control; comparison of two variances and two means; regression and correlation; categorical data; analysis of varianve; some distribution-free alternaives.

This non-calculus introduction to statistics provides an intuitive treatment of both statistics and probability, with a strong emphasis on applications and problem solving. It offers a hands-on approach to learning statistics through 22 student experiments and real-world problems and exercises. The author provides pointers to ways in which statistical software packages, as well as scientific and graphics calculators, can be used by students to perform time-consuming computations while helping them to better focus on the concepts. Exercises are based on data taken from business, psychology, health, medicine, sports and other areas.

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