A Canadian retail chain has 100 stores in Toronto, Montreal and Vancouver, with

10,000 employees. Among the employees, there are 10% middle-level managers,

10% lower-level managers, 20% first-line supervisors, and 60% customer service

representatives. The company president asks you (a researcher) to conduct a

survey and interviews among employees on employee satisfaction with career

development.

a) Probability sampling (3 marks). Assume that the sample size for the survey is

determined to be 1,000 employees.

Explain 4 ways of selecting a probability sample of 1,000 from the list of

10,000 employees, and the advantages and disadvantages of each design (2

marks).

Last year, another researcher conducted a survey on whether employees we

in favour of working from home. The result was 65% of employees supporte

working from home, with the margin of error is +/- 3%, 19 times out of 20.

Please explain this survey result (1 mark).

Non-probability sampling (3 marks). Assume that the sample size for

the interviews is determined to be 100 employees.

Explain 3 ways of selecting a non-probability sample of 100 from the list of

10,000 employees, and the advantages and disadvantages of each design (2

marks).

Explain why managers need to understand the probability and non-probability

sampling methods used by researchers (1 mark).