Part (a)
1 markThe 53 employees who replied form a sample, not the population.
Explanation: the population is the entire group under study — here, all employees in the Staffing department, since the questionnaire was sent to every one of them. The who replied are only part of that group (a self-selecting subset, since not everyone asked chose to respond), so they are a sample of the department, not the department itself.
Part (b)
2 marksShe should take a random sample of employees — for example a stratified sample, grouping employees by department and then taking a simple random sample within each department, in proportion to that department’s size.
Explanation: she wants to know the views of employees across the whole company but cannot survey everyone, so a random sample is needed to give every employee a known, non-zero chance of selection and so avoid bias. Stratifying by department further ensures each department is fairly represented, so the results can be reliably generalised to the whole company’s workforce.
Part (c)
5 marksApproach
Let be the numbers chosen from Administration, Production, Marketing and Staffing respectively, so with (at least one from each department) and (Administration strictly the largest). Since , we have ; since must exceed each of , . We work through in turn.
Case : then with each and , forcing :
Case : then with each and , so is in some order:
Multiplying by for the choice of Administration members,
Case : then with each and , so is in some order:
Multiplying by ,
Case : then with each and only (since each ), but , so this case is impossible and contributes .
Adding all cases,
| To check your answer: a direct enumeration over every valid with in the stated ranges and , summing over each, gives , matching this calculation ✓ |
the number of ways is .