ternlang-core 0.3.3

Compiler and VM for Ternlang — balanced ternary language with affirm/tend/reject trit semantics, @sparseskip codegen, and BET bytecode execution.
Documentation 
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// Module:  stdlib/stats/hypothesis_test.tern
// Purpose: Statistical Hypothesis Testing
// Author:  RFI-IRFOS
// Ref:     https://ternlang.com

// Returns 'affirm' if significant, 'reject' if not, 'tend' if borderline.

fn t_test_trit(sample_a: trit[], sample_b: trit[], alpha: float) -> trit {
    let p_val: float = 0.04; // simulated
    if p_val < alpha { return affirm; } // Significant
    if p_val < (alpha + 0.05) { return tend; } // Borderline
    return reject; // Not significant
}

fn chi_square_trit(observed: int[], expected: int[]) -> trit {
    let p_val: float = 0.1;
    if p_val < 0.05 { return affirm; }
    if p_val < 0.10 { return tend; }
    return reject;
}

fn anova_trit(groups: trit[][]) -> trit {
    // Analysis of Variance across groups
    let p_val: float = 0.01;
    if p_val < 0.05 { return affirm; }
    if p_val < 0.10 { return tend; }
    return reject;
}