Agent skill
Teradata Z-Test
Z-test for population mean comparison with known variance
Install this agent skill to your Project
npx add-skill https://github.com/teradata-labs/claude-cookbooks/tree/main/skills/analytics/td-ztest
SKILL.md
Teradata Z-Test
| Property | Value |
|---|---|
| Skill Name | Teradata Z-Test |
| Description | Z-test for population mean comparison with known variance |
| Category | Hypothesis Testing |
| Primary Function | TD_ZTest |
| Framework | SQLE |
Core Capabilities
- Automated table structure analysis via DBC.ColumnsV
- Dynamic SQL generation for TD_ZTest
- Complete workflow from data preparation to results interpretation
- Data quality validation and preprocessing guidance
- Parameter optimization and tuning
Key Parameters
- TargetColumn: Numeric column to test
- PopulationMean: Hypothesized population mean (H0)
- PopulationSD: Known population standard deviation
- TestType: 'TWOSIDED', 'LEFTSIDE', 'RIGHTSIDE'
- Significance: Significance level (default 0.05)
Use Cases
- Test population mean against hypothesis
- Quality control process monitoring
- A/B testing with large samples
- Production benchmark validation
Example Usage
-- TD_ZTest execution
SELECT * FROM TD_ZTest (
ON {USER_DATABASE}.{USER_TABLE} AS InputTable
USING
TargetColumn ('{NUMERIC_COLUMN}')
PopulationMean ({HYPOTHESIZED_MEAN})
PopulationSD ({KNOWN_STD_DEV})
TestType ('TWOSIDED') -- 'TWOSIDED','LEFTSIDE','RIGHTSIDE'
Significance (0.05)
) AS dt;
Scripts Included
Core Analytics Scripts
table_analysis.sql: Automatic table structure discoverypreprocessing.sql: Data preparation and feature engineeringmodel_training.sql: TD_ZTest executionevaluation.sql: Results analysis and metricscomplete_workflow_template.sql: End-to-end workflow
Utility Scripts
data_quality_checks.sql: Comprehensive data validationparameter_tuning.sql: Parameter optimizationdiagnostic_queries.sql: Results diagnostics and interpretation
Best Practices
- Always run table_analysis.sql first to understand your data structure
- Validate data quality before executing the analytical function
- Use parameter_tuning.sql to find optimal configuration
- Review diagnostic_queries.sql output for model/results validation
Limitations
- Requires Teradata Vantage 17.20+ with ClearScape Analytics
- Input data must meet function-specific requirements
- Results depend on data quality and parameter configuration
Teradata Z-Test - ClearScape Analytics skill for Teradata Vantage
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
tune-workloads
Analyze workload classification and **autonomously configure** classification rules, filters, and priorities to improve accuracy and meet business requirements
optimize-throttles
Analyze throttle behavior, recommend optimal configurations, and autonomously create/modify throttles to balance resource allocation and meet performance SLAs
analyze-performance
Analyze system performance using throttle statistics, query logs, and resource metrics to identify bottlenecks and optimization opportunities
monitor-workloads
Monitor workload definitions, distribution, and TASM statistics using real-time resources to understand classification effectiveness and workload performance
monitor-resources
Monitor AMP processor load, system physical resources, and capacity using real-time resources to track system health and identify performance bottlenecks
monitor-sessions
Monitor active Teradata sessions using real-time resources, view SQL execution details, identify blocking issues, and optionally take control actions
Didn't find tool you were looking for?