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Chapter 4: Q. 17 (page 238)

No tipping The owner of a large restaurant is considering a new "no tipping" policy and wants to survey a sample of employees. The policy would add 20% to the cost of food and beverages and the additional revenue would be distributed equally among servers and kitchen staff. Describe how to select a stratified random sample of approximately 30 employees. Explain your choice of strata and why stratified random sampling might be preferred in this context.

Short Answer

Expert verified

Strata is a type of employee and SRS is preferred in this context because of the difference in the opinions of kitchen employees and servers.

Step by step solution

01

Given information

We need to find the strata and reason for the SRS preference in this context.

02

Explanation

Simple random samples are obtained from independent subgroups using stratified random sampling (stratum).

Various types of employees may have different perspectives on the "no tipping" regulation. Serves, for example, will be more inclined to oppose the "no tipping" policy because they receive tips, whereas kitchen employees will be in favor of the regulation since they never receive tips.

The type of employee might then be used as the stratum, allowing us to account for the differences in viewpoints between servers and kitchen personnel.

We could then choose 15servers and 15kitchen personnel at random to be included in the study. Then we ask each of these employees for their thoughts.

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Most popular questions from this chapter

How is your room? A hotel has 30floors with 40rooms per floor. The rooms on one side of the hotel face the water, while rooms on the other side face a golf course. There is an extra charge for the rooms with a water view. The hotel manager wants to select 120rooms and survey the registered guest in each of the selected rooms about his or her overall satisfaction with the property.

a. Describe how to obtain a sample of 120rooms using stratified random sampling. Explain your choice of strata and why this method might be preferred to simple random sampling.

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