
Isfandiyor A. answered 10/01/21
Experienced Math teacher
In general, CI will look like p̂-E<p<p̂+E, where p̂ is the point estimate of population proportion p i.e. sample proportion and E is the margin of error ( E= zα/2*√( (p̂*q̂)/n) )
1. Identify the sample statistics n and x. n=101, x=48
2. Find the point estimate p̂ (which is sample proportion). p̂=x/n=48/101=0.475
3. Verify that the sampling distribution of p̂ can be approximated by a normal distribution (np̂≥5 and nq̂≥5). 101*0.475=47.975≥5 and 101*(1-0.475)=53.025≥5
4. Find the critical value zα/2 (using z-Table or any stat app) that corresponds to the given level of confidence. In our case confidence level (1-α)%=90% so α=10%=0.1. Hence, z0.1/2=1.645
5. Find the margin of error E= zα/2*√( (p̂*q̂)/n) = 1.645*√((0.4752*0.5248)/101)=0.0817
6. Form the Interval. 90% CI for population proportion p is from p - E to p + E or p=p̂±E=0.4752±0.0817. Hence, the 90% CI is (0.3935, 0.5570)