Aresearcher discovers that 40% of the households in city x are single person households and that 60% are husband-wife households. the researcher sends interviewers into the field and tells them to conduct 80 interviews and that 40% of their interviews should be with households that are headed by a single person, and 60% should be with husband-wife households. since this is all the researcher tells the interviewers, this research usesselect one: a. quota sampling. b. cluster sampling. c. stratified sampling. d. simple random sampling. e. accidental sampling.

Quota sampling

Explanation:

Quota Sampling is a non-probability sampling method in which the population is divided in mutually exclusive subgroups and the items from each of the subgroups are selected based on a proportion.

In this example the households were divided into two subgroups: single-person households and husband-wife households (it is clear that this subgroups are mutually exclusive). Then, since 40% of all households are single-person and 60% are husband-wife, the researcher ask interviewers to collect information based on this proportion, therefore, 40% of the interviews will be done with single-person households and 60% with husband-wife households. Thus, these interviews are done based on a proportion.

We can see that the example meets all the requirements for quota sampling and thus, it's an example of this type of sampling.

muslims have taken his goods and products to different parts of asia an indonesia. sometimes just traveled and trade, but in other occasions, stayed in the place and made a living.

trade was the key for muslims economies to prosper. their commerce routes reached far places like malaysia and java in the 11th century.

another important factor for prosperity was that muslim states served as the middle point for european traders.

they used to travel by land but sailing the seas -the indian ocean- really increase the exportation of products.