Final answer:
The ideal approach for dividing a group into Scrum teams is based on cross-functionality and self-organization, not the given options. In sampling, scenarios vary: stratified sampling categorizes individuals before selection, and cluster sampling selects all individuals within randomly chosen clusters.
Step-by-step explanation:
For dividing a group of 100 people into multiple Development Teams within a Scrum framework, none of the options (seniority, random assignment, skill-based grouping, alphabetical order) provided are recommended as best practices in Scrum. The ideal approach would involve organizing teams based on cross-functionality and self-organization, whereby team members possess a variety of complementary skills and collaborate to determine the best team structure. This is not one of the options provided, but it aligns best with the principles of Agile and Scrum methodologies.
Regarding sampling methods, different scenarios call for different types of sampling. For instance:
- The soccer coach is using stratified sampling by categorizing players by age before selecting them.
- The pollster employing a method that interviews all individuals within chosen clusters (the HR departments of five companies) is an example of cluster sampling.
- The educational researcher interviewing an equal number of male and female teachers is using stratified sampling to ensure representation from both genders.
In the department store employee satisfaction measure, the method used is also an example of cluster sampling, as entire clusters (departments) are being randomly selected and then all individuals within those clusters are surveyed.