Which sampling method is MOST appropriate in estimating the average number of votes for each candidate in an election across a c
ounty of three towns if town A has one million retirees, town B has two million business owners, and town C has three million office workers? A. Simple random sampling, because the people in the sample are accessible and available.
B. Stratified sampling, because there are specific subgroups to investigate.
C. Systematic sampling, because it is difficult to identify items using a simple random sampling method.
D. Cluster sampling, because the studied population is spread across a wide area such that simple random sampling would be difficult to implement
B. Stratified sampling, because there are specific subgroups to investigate.
Step-by-step explanation:
Stratified Sampling is a sampling method and is used when the population has subgroups with different characteristics. Random sampling is applied in each of the sub-groups <em>proportional </em>to their size and then these samples <em>combined </em>together to create sample of the study.
Since there are three towns with people from different occupations ( retirees,business owners, office workers), it is better to use stratified sampling method.
The first trip to school is 5/6 miles. Multiply that by 2 because she also walked home and you get 10/6. Then add the distance she she walked to the library- which simplifies to 5/6 and you get 20/6. That simplifies to 3 1/3.
