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venue-templates
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Research & Learning View
Skills statistical-analysis
📦
statistical-analysis
Content revision r1 Safe ⚡ Contains scripts⚙️ External commands🌐 Network access
Analyze Research Data with Statistical Guidance
Choosing tests and reporting results can be slow and error-prone. This skill guides test selection, assumptions, effect sizes, power analysis, Bayesian options, and APA reporting.
Supports: Claude Codex Code(CC)
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "statistical-analysis" from https://skillstore.io/skills/k-dense-ai-statistical-analysis.md and its manifest at https://skillstore.io/api/skills/k-dense-ai-statistical-analysis/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "statistical-analysis". A researcher compares two independent groups on a continuous score.
Expected outcome:
The skill recommends an independent t-test if assumptions hold, Welch correction if variances differ, and Mann-Whitney U for severe non-normality.
Using "statistical-analysis". A student has regression output and needs results wording.
Expected outcome:
The skill produces an APA-style paragraph with model fit, predictors, confidence intervals, diagnostics, and a plain-language interpretation.
Using "statistical-analysis". A team is planning a three-group experiment.
Expected outcome:
The skill outlines one-way ANOVA planning, required effect size assumptions, sample size estimation, post-hoc testing, and reporting details.
Security Audit
Safev7 • 7/6/2026 Open versioned report
All static findings are false positives caused by markdown code fences, inline backticks, ordinary Python imports, statistical wording, and a documentation link. No evidence found of prompt injection, data exfiltration intent, shell execution, or active network behavior in the reviewed context.
7
Files scanned
3,386
Lines analyzed
0
Review items
0
False positives ignored
Risk Factors
⚡ Contains scripts (3)
⚙️ External commands (42)
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🌐 Network access (1)
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
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<iframe src="https://skillstore.io/embed/skills/k-dense-ai-statistical-analysis.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
K-Dense-AI. (2026). statistical-analysis security audit report (audit version 7) [Author version unspecified]. Skillstore. https://skillstore.io/skills/k-dense-ai-statistical-analysis/audits/7BibTeX citation
@techreport{k-dense-ai-k-dense-ai-statistical-analysis-2026,
author = {K-Dense-AI},
title = {statistical-analysis security audit report (audit version 7)},
institution = {Skillstore},
year = {2026},
number = {7},
url = {https://skillstore.io/skills/k-dense-ai-statistical-analysis/audits/7},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "statistical-analysis security audit report (audit version 7)"
version: "unspecified"
type: report
authors:
- name: "K-Dense-AI"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/k-dense-ai-statistical-analysis/audits/7"
identifiers:
- type: other
value: "skillstore:k-dense-ai-statistical-analysis:audit:7"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
Highest Skillstore Score
Author / source Skillstore Score Evidence Confidence Skillstore usage Updated
davila7 Recommended
davila7-statistical-analysis
Skillstore Score 81
Evidence Confidence High
Skillstore usage 23
Updated
2026-09-09
K-Dense-AI Current
k-dense-ai-statistical-analysis
Skillstore Score 80
Evidence Confidence High
Skillstore usage 20
Updated
2026-09-09
Skillstore Score
Why this score Evidence Confidence: High 68
Architecture
85
Maintainability
87
Content
70
Community
78
Spec Compliance
What You Can Build
Plan a Study Analysis
Choose tests, define assumptions, estimate sample size, and plan reporting before data collection.
Check Statistical Assumptions
Review normality, variance, outliers, and model diagnostics before interpreting results.
Prepare Publication Results
Convert analysis outputs into complete APA-style results with effect sizes and confidence intervals.
Try These Prompts
Choose a Test
Help me choose a statistical test. My research question is [question]. My outcome variable is [type]. My groups or predictors are [details].
Check Assumptions
Review the assumptions for [planned test]. My sample size is [n], variables are [variables], and observed issues are [missing data, outliers, or skew].
Interpret Results
Interpret these statistical results in APA style: [test output]. Include assumptions, effect size, confidence interval, and practical significance.
Design a Robust Analysis Plan
Create an analysis plan for this study: [design]. Include primary tests, assumption checks, power analysis, multiple comparison handling, and sensitivity analyses.
Best Practices
- State the research question, study design, variable types, and planned comparisons before choosing tests.
- Check assumptions and diagnostics before interpreting p-values or model coefficients.
- Report effect sizes, intervals, exact p-values, and non-significant planned analyses.
Avoid
- Do not test many alternatives until one result is significant.
- Do not treat statistical significance as practical importance.
- Do not omit assumption violations, transformations, or excluded observations.
Frequently Asked Questions
Can this skill choose a statistical test for my study?
Yes. Provide your research question, variable types, group structure, and sampling design.
Does it run analysis automatically?
It provides guidance and Python examples. Users must run code in their own environment and verify results.
Can it help with APA-style reporting?
Yes. It includes reporting templates for tests, models, assumptions, effect sizes, and intervals.
Does it support Bayesian statistics?
Yes. It explains Bayesian alternatives, priors, Bayes Factors, credible intervals, and convergence checks.
What data should I provide?
Provide variable names, measurement scales, sample sizes, group definitions, missing data notes, and analysis output when available.
Is it suitable for regulated or clinical decisions?
Use it as support only. High-stakes, regulated, or clinical analyses require qualified statistical review.
Developer Details
Author
K-Dense-AILicense
MIT license
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
b8ca75d2c0a7e7102978993058777d82b8ab2610
Maintenance freshness
7/18/2026
Usage
10 downloads · 233 views
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