A large company surveyed its staff to investigate the awareness of company policy.
The company employs 6000 full time staff and 4000 part time staff.
Describe how a stratified sample of 200 staff could be taken.
Explain an advantage of using a stratified sample rather than a simple random sample.
A telephone directory contains 50 000 names.
A researcher wishes to select a systematic sample of 100 names from the directory.
Explain in detail how the researcher should obtain such a sample.
Give one advantage and one disadvantage of quota sampling.
( A telephone directory contains 50 000 names.
A researcher wishes to select a systematic sample of 100 names from the directory. )
- It’s not a random process
Give one advantage and one disadvantage of systematic sampling.
A researcher is hired by a cleaning company to survey the opinions of employees on a proposed pension scheme.
The company employees 55 managers and 495 cleaners.
To collect data the researcher decides to give a questionnaire to the first 50 cleaners to leave at the end of the day.
Give 2 reasons why this method is likely to produce biased results.
- Not a random sample
Explain briefly how the researcher could select a sample of 50 employees using a systematic sample.
( A researcher is hired by a cleaning company to survey the opinions of employees on a proposed pension scheme.
The company employs 55 managers and 495 cleaners. )
Explain briefly how the researcher could select a sample of 50 employees using a stratified sample.
( A researcher is hired by a cleaning company to survey the opinions of employees on a proposed pension scheme.
The company employs 55 managers and 495 cleaners. )
Describe one advantage and one disadvantage of quota sampling.
( Out of context )
- Non responses are not recorded
Describe one advantage and one disadvantage of simple random sampling.
- Not suitable for large sample size
State two reasons why stratified sampling might be chosen as a method of sampling when carrying out a statistical survey.
There are 64 girls and 56 boys in a school.
Explain briefly how you could take a random sample of 15 pupils using a simple random sample.
There are 64 girls and 56 boys in a school.
Explain briefly how you could take a random sample of 15 pupils using a stratified sample.
Explain how to obtain a sample from a population using stratified sampling.
Give one advantage and one disadvantage of each sampling
method.
Explain how to obtain a sample from a population using quota sampling.
Give one advantage and one disadvantage of each sampling
method.
Explain what you understand by a sampling unit.
Explain what you understand by a sampling frame.
Before introducing a new rule, the secretary of a golf club decided to find out how members might react to this rule.
Explain why the secretary decided to take a random sample of club members rather than ask all the members.
Suggest a suitable sampling frame.
( Before introducing a new rule, the secretary of a golf club decided to find out how members might react to this rule. )
Identify the sampling units.
( Before introducing a new rule, the secretary of a golf club decided to find out how members might react to this rule. )
Explain what you understand by a census.
Each cooker produced at GT Engineering is stamped with a unique serial number. GT Engineering produces cookers in batches of 2000.
Before selling them, they test a random sample of 5 to see what
electric current overload they will take before breaking down.
Give one reason, other than to save time and cost, why a sample is taken rather than a census.
Suggest a suitable sampling frame from which to obtain this sample.
( Each cooker produced at GT Engineering is stamped with a unique serial number. GT Engineering produces cookers in batches of 2000.
Before selling them, they test a random sample of 5 to see what
electric current overload they will take before breaking down. )
Identify the sampling units.
( Each cooker produced at GT Engineering is stamped with a unique serial number. GT Engineering produces cookers in batches of 2000.
Before selling them, they test a random sample of 5 to see what
electric current overload they will take before breaking down. )