II.
LibraryProcess overview
Reference · livelib-process:mathematics--experimental-design-planning
experimental-design-planning overview
Design rigorous statistical experiments with proper sample size calculations, randomization schemes, and power analysis. Ensures statistical validity before data collection begins.
Attributes
displayName
experimental-design-planning
description
Design rigorous statistical experiments with proper sample size calculations, randomization schemes,
and power analysis. Ensures statistical validity before data collection begins.
libraryPath
library/specializations/domains/science/mathematics/experimental-design-planning.js
specialization
mathematics
references
- - Montgomery, Design and Analysis of Experiments - Cohen, Statistical Power Analysis for the Behavioral Sciences - Casella & Berger, Statistical Inference - Piantadosi, Clinical Trials: A Methodologic Perspective
example
const result = await orchestrate('specializations/domains/science/mathematics/experimental-design-planning', {
researchQuestion: 'Does the new treatment reduce symptoms compared to placebo?',
studyType: 'randomized-controlled-trial',
variables: { treatment: 'independent', symptomScore: 'dependent', age: 'covariate' },
constraints: { maxSampleSize: 500, duration: '6 months', budget: '100000' },
desiredPower: 0.80
});
usesAgents
- statistician
Outgoing edges
lib_applies_to_domain1
- domain:mathematics·DomainMathematics
lib_belongs_to_specialization2
- specialization:computational-mathematics·SpecializationComputational Mathematics
- specialization:mathematics·SpecializationMathematics
lib_implements_workflow1
- workflow:experiment-design·WorkflowExperiment Design
lib_involves_role2
- role:research-engineer·RoleResearch Engineer
- role:computational-scientist·RoleComputational Scientist
lib_requires_skill_area3
- skill-area:statistical-analysis·SkillAreaStatistical Analysis
- skill-area:mathematical-reasoning·SkillAreaMathematical Reasoning
- skill-area:data-analysis·SkillAreaData Analysis
Incoming edges
None.