statistical-analysis
CommunityUnlock insights with statistical methods.
Data & Analytics#data analysis#hypothesis testing#statistics#trend analysis#outlier detection#descriptive statistics
Author8GG-Git
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you understand and interpret data by applying statistical methods to identify patterns, test hypotheses, and detect anomalies.
Core Features & Use Cases
- Descriptive Statistics: Calculate measures of central tendency (mean, median, mode) and spread (standard deviation, IQR) to summarize data.
- Trend Analysis: Identify and forecast trends in time-series data using moving averages and period-over-period comparisons.
- Outlier Detection: Find and handle unusual data points using statistical methods like Z-scores and IQR.
- Hypothesis Testing: Determine if observed differences in data are statistically significant, crucial for A/B testing and segment analysis.
- Use Case: Analyze customer engagement metrics to understand daily trends, identify unusual spikes or drops in activity, and test if a new feature significantly increased user retention.
Quick Start
Analyze the attached 'user_data.csv' file to compute descriptive statistics for the 'session_duration' column.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: statistical-analysis Download link: https://github.com/8GG-Git/knowledge-work-plugins/archive/main.zip#statistical-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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