Introductory biological statistics; Raymond E. Hampton; 1994
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Introductory biological statistics

av Raymond E. Hampton
This relevant, readable text takes an applied approach to introducing upper-level undergraduate and beginning graduate biology students to statistical analysis. It presents commonly used experimental designs and associated parametric and nonparametric statistical tests, states the conditions under which each test is appropriate, gives the common assumptions on which statistical tests are based, and discusses the rationale of statistical hypothesis testing.
This relevant, readable text takes an applied approach to introducing upper-level undergraduate and beginning graduate biology students to statistical analysis. It presents commonly used experimental designs and associated parametric and nonparametric statistical tests, states the conditions under which each test is appropriate, gives the common assumptions on which statistical tests are based, and discusses the rationale of statistical hypothesis testing.
Utgiven: 1994
ISBN: 9780697202093
Förlag: Wm. C. Brown Publishers
Språk: Engelska
Sidor: 233 st
This relevant, readable text takes an applied approach to introducing upper-level undergraduate and beginning graduate biology students to statistical analysis. It presents commonly used experimental designs and associated parametric and nonparametric statistical tests, states the conditions under which each test is appropriate, gives the common assumptions on which statistical tests are based, and discusses the rationale of statistical hypothesis testing.
This relevant, readable text takes an applied approach to introducing upper-level undergraduate and beginning graduate biology students to statistical analysis. It presents commonly used experimental designs and associated parametric and nonparametric statistical tests, states the conditions under which each test is appropriate, gives the common assumptions on which statistical tests are based, and discusses the rationale of statistical hypothesis testing.
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