A large retail company has 500 stores in the United States and 300 stores in Europe. The average number of employees per store is 200, for a total of 100,000 employees in the United States and 60,000 employees in Europe. The company is considering offering employees one of two new benefits - one additional day of paid vacation per year or a small increase in pay. A survey will be given to a sample of employees to investigate which benefit is preferred and whether there is a difference in preference between employees in the United States and employees in Europe

Sampling is the procedure of getting sample units from a population that is representative of the full population. In statistics several types of sampling techniques are there. Among them following are the important techniques that are frequently used.

Stratified random sampling:

The process of dividing entire heterogeneous population into a number of homogeneous groups is known as stratification. Each group is simply termed as strata. Then the units are sampled at random from each of these stratums is known as stratified random sampling.

Cluster sampling:

The process of selecting intact groups, not individuals, within the defined population sharing similar characteristics is known as cluster sampling. A group of individuals under study is known as population. If the population is infinite, complete enumeration is not possible. In such cases the characteristics of the population are studied based on sample obtained from the population.

So, the required answer is Sampling method II results in a stratified sample of employees.

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