Agent skill

Teradata Z-Test

Z-test for population mean comparison with known variance

Stars 6
Forks 0

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

  1. Test population mean against hypothesis
  2. Quality control process monitoring
  3. A/B testing with large samples
  4. Production benchmark validation

Example Usage

sql
-- 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 discovery
  • preprocessing.sql: Data preparation and feature engineering
  • model_training.sql: TD_ZTest execution
  • evaluation.sql: Results analysis and metrics
  • complete_workflow_template.sql: End-to-end workflow

Utility Scripts

  • data_quality_checks.sql: Comprehensive data validation
  • parameter_tuning.sql: Parameter optimization
  • diagnostic_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

Expand your agent's capabilities with these related and highly-rated skills.

Didn't find tool you were looking for?

Be as detailed as possible for better results