# Sampling

This section covers Sampling. Topics include populations, census, sample surveys, sampling units, sampling frames, Random Sampling, Systematic Sampling, Stratified sampling and Quota sampling

A **population** is a group that we want to find information about. It might be a group of people or it could be simply a group of numbers.

A **census** is when information about *every *member of the population is collected. The disadvantage of this method is that if the population is large, it can be difficult to collect and process so much information.

A **sample survey** is when information is collected from a small representation of the population. For example, if we were trying to find out what Britain"s favourite TV show is, it would be impractical to ask everybody in the country (as a census would do). Instead, 1000 people might be chosen and asked.

A **sampling unit** is a person/object to be sampled. The sampling units must be defined in such a way that any one member of a population is not sampled more than once. For example, if we were trying to find out how many cars the average family owns, the sampling unit would be a household rather than an individual, because we wouldn"t want to ask two people from the same household.

A **sampling frame** is the collection of all of the sampling units. Ideally, this should cover the whole population.

The video below explains the four types of sampling and gives an example of how a Two-Way table can be used in exam questions.

**Random Sampling**

The idea of random sampling is that each member of the sample frame has an equal chance of being selected.

One way of doing this is to assign each member of the sample frame a number. Random numbers are then generated (using a computer or from a table) and those members of the sample frame whose numbers come out are sampled.

**Systematic Sampling**

Instead of choosing the members to be sampled using random numbers (which might be difficult and time consuming for large populations), systematic sampling uses a simple rule to choose people. For example, every 10th member of the sample frame could be selected.

**Stratified Sampling**

Stratified sampling can be used when the population in question is split up into groups who are likely to behave differently. For example, if we were trying to find the nation"s favourite television programme, most children would probably like different programmes to most adults.

Each group is sampled separately and the results are put together.

In the television example, if children make up 20% of the population, we would make sure that children make up 20% of the total sample.

**Quota Sampling**

Quota sampling involves splitting the population into groups and sampling a given number of people from each group.

This method is easy to implement when carrying out market research. For example, if someone is interviewing people at a shopping centre, they may have been told to interview 50 men and 50 women. It doesn"t matter how they choose the 50, as long as they interview that many.

If there is no sampling frame (list of sampling units), the above sampling methods can"t really be implemented. Quota sampling might be the only real possibility.