You plan to survey people to see what percent own their home and what percent rent. Which survey is most likely to give you a random sample?
a. You mail a survey to every 10th address from a list of retirement community addresses.
b. You interview people in the street near an apartment complex.
c. You mail a survey to every 20th person in the telephone book.
d. You interview people outside a pool supply store in the suburbs.
i think its b
b seems like the best awnswer
did anyone use this yet?
yeah its right
The survey method that is most likely to give you a random sample is option a. You mail a survey to every 10th address from a list of retirement community addresses.
Explanation:
A random sample is a subset of the population that is selected in such a way that each member of the population has an equal chance of being included. In this case, you are interested in the percentage of people who own their home and the percentage who rent. To obtain a random sample, you need to ensure that every member of the population (i.e., all individuals who own a home or rent) has an equal chance of being included in the survey.
Option a suggests mailing a survey to every 10th address from a list of retirement community addresses. This method provides a systematic way of selecting addresses, ensuring that every 10th address from the list is included. By mailing the surveys, you have the potential to reach a diverse group of individuals within the retirement community, allowing for a random sample.
In contrast, option b (interviewing people in the street near an apartment complex) may introduce selection bias because it only focuses on individuals near an apartment complex, which may not be representative of the entire population.
Option c (mailing a survey to every 20th person in the telephone book) assumes that the names listed in the telephone book are representative of the entire population, which might not be true. This method may inadvertently exclude certain groups of people, leading to a non-random sample.
Option d (interviewing people outside a pool supply store in the suburbs) suffers from a sampling bias because it only includes individuals who happen to be outside a specific store. This method is likely to result in a non-random sample that is not representative of the entire population.