Identify which type of sampling is​ used: random,​ systematic, convenience,​ stratified, or cluster. To determine customer opinion of their safety features​, Daimler−Chrysler randomly selects 100 service centers during a certain week and surveys all customers visiting the service centers.

Cluster

Step-by-step explanation:

According to the Question,

Given this, Daimler−Chrysler randomly selects 100 service centers during a certain week and surveys all customers visiting the service centers.

This is a Cluster type of Sampling.

Cluster sampling is a type of sampling method in which the population under study is divided into different groups known as clusters before simple random samples are selected from each population cluster. The analysis of such a population is carried out based on the sampled clusters. This method is adopted when a researcher does not have access to the whole population under research.

Advantages of cluster sampling

The research method only needs fewer resources. The sample under review is feasible.

Note: Cluster sampling is not as accurate as simple or stratified random sampling.