In: Statistics and Probability
Clinician at UAMS are interested in testing the effectiveness of a new recruiting method to recruit patients in a weight loss program. The recruiting method was mailed to 100 patients selected randomly from UAMS database. 50 patients responded.
Interpret confidence interval in part a in the context of this question. (2 points)
Solution :
Given that,
n = 100
x = 50
Point estimate = sample proportion = = x / n = 50 / 100 = 0.500
1 - = 1 - 0.500 = 0.500
At 95% confidence level
= 1 - 95%
=1 - 0.95 =0.05
/2
= 0.025
Z/2
= Z0.025 = 1.960
Margin of error = E = Z / 2 * (( * (1 - )) / n)
= 1.96 ((( 0.500 * 0.500) / 100 )
= 0.098
At 95% confidence interval for population proportion p is ,
- E < p < + E
0.500 - 0.098 < p < 0.500 + 0.098
0.402 < p < 0.598
( 0.402 , 0.598 )
The 95% confidence interval for the true population proportion p is : ( 0.402 , 0.598 )