State the null and alternative hypotheses of the test and decisions or conclusions to the 2-sample proportion test. Is there any obvious impact on an Event?

SHEET1(W1) Test and Cl for Two Proportions Method Py: proportion where Sample 1 = Event Pz: proportion where Sample 2 = Event Difference: P1 - Pz Descriptive Statistics Sample N Event Sample p Sample 1 120 100 0.833333 Sample 2 400 250 0.625000 Estimation for Difference Difference 95% Cl for Difference 0.208333 (0.126498, 0.290168) CI based on normal approximation Test Null hypothesis Ho: P1 - Pz = 0 Alternative hypothesis H1: p1 - pz # 0 Method Z-Value P-Value Normal approximation 4.27 0.000 Fisher's exact 0.000 The test based on the normal approximation uses the pooled estimate of the proportion (0.673077)