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Harry Teicher, PhD AgChem & Crop Protection (Biopesticides & Pesticides) Articles and Blog

AgChem & Crop Protection (Biopesticides & Pesticides) Articles and Blog

Looking for in-depth articles on Crop Protection R&D and Strategic Management? This FREE resource covers principles of Pesticide and Biopesticide Mode Of Action and Formulation, Registration and Strategic R&D Management!

AgChem & Crop Protection (Biopesticides & Pesticides) Articles and Blog

Guide to Essential Biostatistics XXI: A Short History of Applied BioStatistics

Guide to Essential Biostatistics XX: Chi-square test: goodness of fit for sample validation

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Guide to Essential Biostatistics XIX: Linear regression (PROBIT)

20 (2)

Guide to Essential Biostatistics XVIII: Non-linear regression (Sigmoidal dose-responses

STAT17

Guide to Essential Biostatistics XVII: Inferential Statistics – post ANOVA tests

STAT16

Guide to Essential Biostatistics XVI: Inferential Statistics – ANOVA

Guide to Essential Biostatistics XV: Inferential Statistics – Two Sample Means Comparison: the t-Test (Part II)

XIV

Guide to Essential Biostatistics XIV: Inferential Statistics – Two Sample Means Comparison: the f-Test

XIII

Guide to Essential Biostatistics XIII: Inferential Statistics – Two Sample Means Comparison: the t-Test (Part I)

Guide to Essential BioStatistics XII: Selecting a statistical test – choosing Nonparametric or Parametric Statistical Tests

Guide to Essential BioStatistics XI: Selecting a statistical test – Data Scales (Types)

Guide to Essential BioStatistics X: Critically evaluating experimental data – Descriptive Statistics: SD, SE or 95%CI?

Guide to Essential BioStatistics IX: Critically evaluating experimental data – the Q-test for the identification of outliers

Guide to Essential BioStatistics VIII: Designing and implementing experiments – Randomization and Experimental Design

Guide to Essential BioStatistics VII: Designing and implementing experiments – Experimental Degrees of Freedom

Guide to Essential BioStatistics VI: Designing and implementing experiments – sample size & replication

Guide to Essential BioStatistics V: Designing and implementing experiments – Variance

Guide to Essential BioStatistics IV: Statistical Significance, Power and Effect Size

Guide to Essential BioStatistics III: Type I and Type II errors

Guide to Essential BioStatistics II: Proposing a Hypothesis (the Null Hypothesis)

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1 Comment

Manolis Delimpaltadakis
December 20, 2017 @ 9:29 pm
Many congratulations for your great and interesting articles

Harry Teicher

BioScience Solutions

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