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ESSENTIAL BIOSTATISTICS FOR AGCHEM AND BIOSCIENCE R&D
Course introduction
Introduction (12:17)
Supplementary Course Material
Essential BioStatistics Course - Handouts for notes
Guide to Essential BioStatistics book (PDF)
Hypotheses, Design of Experiments, Descriptive and Inferential Statistics
PROPOSING A HYPOTHESIS - Understanding hypothesis testing and hypothesis errors before designing experiments (13:56)
DESIGNING AND IMPLEMENTING EXPERIMENTS - Significance, power, and effect (37:58)
DESCRIPTIVE STATISTICS - Critically evaluating experimental data (28:49)
INFERENTIAL STATISTICS - Accepting or rejecting the hypothesis (36:13)
Corrected Efficacy, AUDPC, Dose-Response and Synergy
CORRECTED EFFICACY - Isolating the efficacy attributable to the pesticide treatment (9:14)
AUDPC - Combining multiple observations from disease progress experiments into a single cumulative value (8:13)
DOSE-RESPONSE - Predicting values from measured values (10:15)
SYNERGY - extending the patent life of mixture partners (22:20)
Statistical Rules of Thumb
STATISTICAL RULES OF THUMB (7:43)
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Follow-up (1:01)
INFERENTIAL STATISTICS - Accepting or rejecting the hypothesis
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