The mayor of a large U. S. city is interested in addressing complaints from many property owners regarding recent property assessments. Many people feel that they are being overtaxed and that their assessments are too high. To study this issue, the mayor plans to hire consultants to randomly select homes in the city and have these homes independently assessed for value. However, she is concerned that the cost of sampling will be very high since the city is spread out over a wide geographical area. To potentially reduce the cost of sampling, which of the following statistical sampling techniques should be applied?

In order to reduce the cost of sampling, the cluster sampling should be applied.

Cluster sampling is a form of sampling techniques whereby the population that the researcher wants to study are divided into smaller groups which are called clusters.

Based on the question asked, since the the cost of sampling will be high for the entire population, the population can be divided into clusters after which the required people will be selected. This will help in reducing the cost.

In conclusion, the statistical sampling techniques that should be applied is the cluster sampling.

Read more on:

50 min

step-by-step explanation:

they will be decreasing both their times in half

60 / 2 = 30

40/2 = 20

30 + 20 = 50

welll its a very hard question but ill

step-by-step explanation:

first you take the 6 dollars and add 10 to it then add the 50 to that then multiply by 8 with xy and your answer will be

hope this