Module hypothesis 

Statistical Hypothesis Testing

Implements classical hypothesis tests for comparing distributions and testing relationships.

Tests

• t-tests: Compare means (one-sample, two-sample, paired)
• chi-square: Test categorical distributions (goodness-of-fit, independence)
• ANOVA: Compare multiple group means (F-test)

Example

use aprender::stats::hypothesis::{ttest_ind, TTestResult};

let group1 = vec![2.3, 2.5, 2.7, 2.9, 3.1];
let group2 = vec![3.2, 3.4, 3.6, 3.8, 4.0];

let result = ttest_ind(&group1, &group2, true).unwrap();
println!("t-statistic: {:.4}, p-value: {:.4}", result.statistic, result.pvalue);

Structs

AnovaResult

Result of an ANOVA F-test.

ChiSquareResult

Result of a chi-square test.

TTestResult

Result of a t-test.

Functions

chisquare

Chi-square goodness-of-fit test: Tests if observed frequencies match expected.

f_oneway

One-way ANOVA: Tests if multiple groups have the same mean.

ttest_1samp

One-sample t-test: Tests if sample mean differs from population mean.

ttest_ind

Independent two-sample t-test: Tests if two independent samples have different means.

ttest_rel

Paired t-test: Tests if paired samples have different means.