Data that has been collected by the person doing the survey
Secondary data
Data that hasn't been collected by the person doing the survey
Advantages of primary data
More reliable, up-to-date, tailored for investigation
Advantages of secondary data
Easier to obtain, cheaper, less time-consuming
Continuous Data
Data that lies on a continuous scale (can be at any point on a number line)
Discrete Data
Data that consists of separatenumbers (jumps along the number line)
Quantitative Data
Data that has numerical values
Qualitative Data
Data that is notnumerical values
Open Questions
Has nosuggested answers and has freeform boxes to reply in
Advantages of open questions
Allows for a range of responses, so can cover all eventualities
Closed Questions
Has a set of answers for the person to choose from
Advantages of closed questions
Easier to analyse as range of responses restricted
Leading Questions
Questions that infer an opinion and promote a certain answer
Random Sample
Each person has an equally likely chance to be picked
How to take a random sample
(a) Number everyone in list
(b) Use a randomnumbergenerator to select numbers
(c) Select the data points corresponding to the numbers picked
(d) If you get a number outside the range or the same number twice you repeat, if you get a decimal round to the nearest number.
Advantages of a random sample
Easy to do
Disadvantages of a random sample
May not be representative
Systematic Sample
Data is chosen at regular intervals (e.g. every 10th person)
How to take a systematic sample
Order population and divide population by sample size to find how often data chosen. Then choose random number to decide where in this interval to start.
Advantages of a systematic sample
Useful for production line - will spot problems over time
Disadvantages of a systematic sample
May not be representative
Quota Sample
The same amount of people from different chosen groups are sampled
How to take a quota sample
Decide on a quota size for each group. Then take a random sample, ignoring any results from a group where the quota has been reached.
Advantages of a quota sample
Makes sure all quota groups are represented, easy to take
Disadvantages of a quota sample
Not likely to be representative, may be difficult to reach quota if numbers limited
Cluster Sample
The population is divided into groups and a group is chosen at random.
Advantages of a cluster sample
Easy to do
Disadvantages of a cluster sample
Unlikely to be representative
Stratified Sample
Where the data sampled in each group is proportional to that of the whole population