Answer: c. Stratified sampling
Step-by-step explanation:
Stratified sampling is a sampling method in which the studied population is divided into separate groups or subgroups known as strata, there after a simple random sample can then be drawn from each separate or subgroups.
One of the main merit of stratified sampling is that it helps to reduce the size of sample required to get accurate result.
Answer: (0.205905, 0.242095)
Step-by-step explanation:
We know that the confidence interval for population proportion is given by :-

, where
= sample proportion
n= sample size
Let p be the proportion of complaints of identity theft .
As per given , we have
n= 1432

By standard normal table , z* = 1.645 for 90% confidence level.
Now , 90% confidence interval for p will be :

Hence, required confidence interval = (0.205905, 0.242095)