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Principles and procedures of statistics a biometrical approach

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  • "Observations; probability; sampling from a national distribution; comparisons involving two sample means; principles of experimental design; analysis of variance I: the one-way classification; multiple comparisons; analysis of variance II: multiway classifications; linear regression; linear correlation; matrix notation; linear regression in matrix notation; multiple and partial regression and correlation; analysis of variance III: factorial experiments; analysis of variance IV: split-plot design and analysis; analysis of covariance; analysis of variance V: unequal subclass numbers; curve fitting; some uses of chi square; enumeration data I: one-way classifications; enumeration data II: contingeney tables; some discrete distributions; ...nonparametric statistics; sampling finite populations."
  • "Statistics defined. Some history of statistics. Statistics and the scientific method. studying statistic; Probability. Sampling from a normal distribution. Comparisons involving two sample means. Principles of experimental design. Analysis of variance I: the one-way classification. Analysis of variance II: multiway classifications. Linear regression. Linear correlation. Analysis of variance III: Factorial experiments. Analysis of variance IV: split-plot designs and analysis. Analysis of variance V: unequal subsclass numbers. Multiple and partial regression and correlation. Analysis of covariance. Nonlinear regression. Some uses of chi-square. Enumeration data I: one-way classifications. Enumeration data II: contingency tables. Some discrete distributions. Nonparametric statistics. Sampling finite populations."
  • "Probability; 4.Sampling from a normal distribution; 5.Comparisons involving two sample means; 6.Principles of experimental design; 7.Analysis of variance I: the one-way classification; 8.Multiple comparisons; 9.Analysis of variance II: multiway classifications; 10.Linear regression; 11.Linear correlation; 12.Matrix notation; 13.Linear regression in matrix notation; 14.Multiple and partial regression and correlation; 15.Analysis of variance III: factorial experiments; 16.Analysis of variance IV: split-plot designs and analysis; 17.Analysis of covariance; 18.Analysis of variance V> unequal subclass numbers; 19.Curve fitting; 20.Some uses of chi square; 21.Enumeration data I: one-way classifications; 22.Enumeration data II:contingency tables; 23.Some discrete distributions; 24.Nonparametric statistics; 25.Sampling finite populations."
  • "Observations; Probability; Sampling from a normal distribution; Comparisons involving two sample means; Principles of experimental design; Analysis of variance I: the one-way classification; Multiple comparisons; Analysis of variance II: multiway classifications; Linear regression; Linear correlation; Matrix notation; Linear regression in matrix notation; Multiple and partial regression and correlation; Analysis of variance III: factorial experiments; Analysis of variance IV: split-plot designs and analysis; Analysis of covariance; Analysis of variance V: unequal subclass numbers; Curve fitting; Some uses of Chi square; Enumeration Data I: one-way classifications; Enumeration Data II: contingency tables; Some discrete distributions; Nonparametric statistics; Sampling finite populations."
  • "Statistics defined; Some history of statistics; Statistics and the scientific method; Studing statistics; Observations; Probability; Sampling from a normal distribution; Comparisons involving two sample means. Principles of experimental design; Analysis of variance I; The one-way classification; Multiple comparisons; Analysis of variance II; Multiway Classifications; Linear regression; Linear correlation; Matrix notation; Linear regression in matrix notation; Multiple and partial regression and correlation; Analysis of variance III; Factorial experiments;Analysis of variance IV; Split-plot designs and analysis; Analysis of covariance; Analysis of variance V; Unequal subclass numbers; Curve fitting; Some use of chi square; Enumeration data I; One-way classifications; Enumeration Data II: Contingency table; Some discrete distributions; Nonparametric statistics; Sampling finite populations."

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  • "Lehrbuch"
  • "Einführung"

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  • "Principles and procedures of statistics a biometrical approach"@en
  • "Principles and procedures of statistics a biometrical approach"
  • "Principles and procedures of statistics : with special reference to the biological sciences"
  • "Principles and Procedures of Statistics - A Biometrical Approach"
  • "Principles and procedures of statistics"
  • "Principles and procedures of statistics"@en
  • "Principle and procedures of statistics : with special reference to the biological sciences"
  • "Principles and procedures of statistics : a biometrical approach"
  • "Principles and procedures of statistics : a biometrical approach"@en
  • "Principles and procedures of statistics : a biological approach"
  • "Principles and procedures of statistics : A biometrical approach"
  • "Principles and Procedures of Statistics"
  • "Principles & procedures of statistics"
  • "Principles and procedures of statistics, with special reference to biological sciences [by] Robert G.D. Steel [and] James H. Torrie"@en
  • "Principles and procedures of statistics with special reference to the biological sciences"
  • "Principles and procedures of statistics with special reference to the biological sciences"@en
  • "Principles and procedures of statistics; a biometrical approach"
  • "Principles and procedures of statistics, with special reference to the biological sciences"
  • "Principles and Procedures of Statistics, with special reference to the biological sciences"@en

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