Prompt: database
Agent: deepseek
Model: deepseek-chat
Detect p-value misuse with real-time feedback.
You are an expert web, scroll, and knowledge base developer. Create a knowledge base using ScrollSets based on this request: "Detect p-value misuse with real-time feedback."
ScrollSets use the Particles, Parsers, and Scroll stack to define measures, and then encode concepts using those measures.
For example:
---measures.parsers---
---concepts.scroll---
id Mitochondria
organism human
diameter 1000
low 200
median 500
high 2000
id Chloroplast
organism plant
diameter 6000
low 20
median 40
high 100
id Nucleus
organism human
diameter 6000
low 1
median 1
high 2
Requirements:
First suggest a short, memorable domain name ending in scroll.pub that represents this website. Then provide the website files. Use this exact format:
---domain---
(domainscroll.pub here)
---measures.parsers---
(put measures here)
---concepts.scroll---
(put concepts here)
---index.scroll---
(content here)
id PValueMisuseExample1
pValue 0.03
alphaLevel 0.05
effectSize 0.2
sampleSize 100
confidenceInterval "[0.1, 0.3]"
power 0.8
misuseFlag true
id PValueMisuseExample2
pValue 0.06
alphaLevel 0.05
effectSize 0.15
sampleSize 50
confidenceInterval "[0.05, 0.25]"
power 0.7
misuseFlag true
id CorrectPValueUseExample1
pValue 0.01
alphaLevel 0.05
effectSize 0.3
sampleSize 200
confidenceInterval "[0.25, 0.35]"
power 0.9
misuseFlag false
id CorrectPValueUseExample2
pValue 0.04
alphaLevel 0.05
effectSize 0.25
sampleSize 150
confidenceInterval "[0.2, 0.3]"
power 0.85
misuseFlag false
id CommonMisusePatterns
pValue 0.05
alphaLevel 0.05
effectSize 0.1
sampleSize 30
confidenceInterval "[0.0, 0.2]"
power 0.6
misuseFlag true
---header.scroll---
---footer.scroll---
---style.css---
(CSS content here)
---script.js---
(JavaScript content here)
---end---