A random sample of 2000 people there were 11% that have diabetes. Determine a 95% confidence interval estimate for the proportion of people with diabetes.
Solution:
Confidence interval for Population Proportion is given as below:
Confidence Interval = P ± Z* sqrt(P*(1 – P)/n)
Where, P is the sample proportion, Z is critical value, and n is sample size.
We are given
n = 2000
P = x/n = 0.11 = 11%
Confidence level = 95%
Critical Z value = 1.96
(by using z-table)
Confidence Interval = P ± Z* sqrt(P*(1 – P)/n)
Confidence Interval = 0.11 ± 1.96* sqrt(0.11*(1 – 0.11)/ 2000)
Confidence Interval = 0.11 ± 1.96*0.0070
Confidence Interval = 0.11 ± 0.0137
Lower limit = 0.11 - 0.0137 = 0.0963
Upper limit = 0.11 + 0.0137 = 0.1237
Confidence interval = (0.0963, 0.1237)
We are 95% confident that the population proportion of people with diabetes will lies between 0.0963 and 0.1237.
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