Introduction to statistics

By: Milton,J.SusanContributor(s): Corbet, James J | McTeer, Paul MMaterial type: TextTextPublication details: New York : McGraw-Hill Companies, ©1997Description: xiii, 622, A100 pages : illustrationsISBN: 9780070425286; 0070425280 Subject(s): StatisticsDDC classification: 519.5
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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REF 519.5 MIL (Browse shelf(Opens below)) Available 006550
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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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