Test and CI for Two Proportions
Method
p₁: proportion where Sample 1 = Event |
p₂: proportion where Sample 2 = Event |
Difference: p₁ - p₂ |
Descriptive Statistics
Sample | N | Event | Sample p |
Sample 1 | 150 | 45 | 0.300000 |
Sample 2 | 150 | 99 | 0.660000 |
Estimation for Difference
Difference | 95% Upper Bound for Difference |
-0.36 | -0.271483 |
CI based on normal approximation
Test
Null hypothesis | H₀: p₁ - p₂ = 0 |
Alternative hypothesis | H₁: p₁ - p₂ < 0 |
Method | Z-Value | P-Value |
Normal approximation | -6.69 | 0.0000 |
P-value < Alpha
Reject ;- Yes
we have enough evidence to conclude that students who spends more than 7 hours in Insta getting GPA less than 3
Population o El Camino Students (P1- Students who use Instagram more than 7 hours per week, P2- Students who use...
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