/**
 * Statistical Test Utilities
 *
 * Collection of statistical functions for hypothesis testing,
 * effect size calculation, and confidence intervals.
 */
/**
 * Mann-Whitney U test for comparing two independent samples.
 * Tests whether two populations have the same distribution.
 *
 * H0: Both populations have the same distribution
 * H1: Populations have different distributions
 *
 * Returns p-value (smaller = more significant difference)
 * @param sampleA
 * @param sampleB
 */
export declare const mannWhitneyUTest: (sampleA: number[], sampleB: number[]) => {
    u: number;
    pValue: number;
    significant: boolean;
};
/**
 * Standard normal cumulative distribution function.
 * @param z
 */
export declare const normalCDF: (z: number) => number;
/**
 * Calculate Cohen's d effect size.
 * Measures the standardized difference between two means.
 *
 * Interpretation:
 * - 0.2: Small effect
 * - 0.5: Medium effect
 * - 0.8: Large effect
 * @param sampleA
 * @param sampleB
 */
export declare const cohensD: (sampleA: number[], sampleB: number[]) => number;
/**
 * Calculate confidence interval for a mean.
 * @param values
 * @param _confidence
 */
export declare const confidenceInterval: (values: number[], _confidence?: number) => {
    lower: number;
    upper: number;
};
/**
 * Calculate Jaccard similarity between two sets.
 * @param setA
 * @param setB
 */
export declare const jaccardSimilarity: <T>(setA: Set<T>, setB: Set<T>) => number;
/**
 * Calculate path diversity (entropy of path lengths).
 * @param paths
 */
export declare const pathDiversity: (paths: Array<{
    nodes: string[];
}>) => number;
/**
 * Coverage metric for systematic literature review.
 * Measures how well the sampled subgraph covers different topical regions.
 * @param sampledNodes
 * @param graph
 * @param graph.getDegree
 * @param graph.getAllNodeIds
 */
export declare const calculateTopicCoverage: (sampledNodes: Set<string>, graph: {
    getDegree(nodeId: string): number;
    getAllNodeIds(): string[];
}) => {
    coverage: number;
    avgDegree: number;
    hubRatio: number;
};
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