HYPOTHESES TESTING RESULTS

Distinguished examiners, I tested four hypotheses using appropriate inferential statistics. I am pleased to report that all four null hypotheses were rejected, providing strong statistical support for my research propositions. Let me present these exciting findings.
Hypothesis Test Test Statistic p-value Effect Size Decision
H₁: Ag. Education → Technology Adoption Pearson r r = 0.61 < .001 r² = 0.37 (large) Reject H₀
H₂: Technology Adoption → Food Security Pearson r r = 0.54 < .001 r² = 0.29 (medium) Reject H₀
H₃: Education → Economic Productivity t-test t(298) = 5.48 < .001 Cohen's d = 0.57 Reject H₀
H₄: Education & Extension → Rural Development Multiple Regression F(3,296) = 41.87 < .001 R² = 0.46 (large) Reject H₀

📊 MULTIPLE REGRESSION RESULTS (H₄)

Agricultural Education Exposure: β = .38, p < .001
Technology Adoption: β = .29, p < .001
Extension Service Participation: β = .14, p = .021
R² = 0.46

The model explains 46% of variance in rural development outcomes

✅ ALL FOUR NULL HYPOTHESES WERE REJECTED

Statistically significant associations confirmed across all hypothesized relationships

Abosede Sodiya Slide 10 of 15
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