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Parameter
p is the true proportion of all (context)
Assumptions
SRS, The sample size (n) is less than 10% of the population (independent), Large Counts: np >= 10 and n(1−p) >= 10
Name
1 Prop. Z-interval
Interval Calculation
invNorm for Z-score, successes/sample size for p-hat: p-hat +- z-score * sqrt(p-hat(1-p-hat)/n)
Conclusion
We are (confidence level)% confident that the true (difference in) proportion of (context) who have (context) is between (confidence interval)
Confidence Level
If we take many, many samples of (population) and calculate a confidence interval for each, about (confidence level)% of them would contain the true proportion of (context)
Interval Containment
.50
If interval contains 0
No strong evidence of difference
If interval does not contain 0
Evidence of difference
Parameter (2-prop)
p1 - p2 is the difference in true proportion of (context)
Name (2-prop)
2 prop Z-interval