Types Of Data Flashcards
What is qualitative data
Non-numerical data such as hair colour, opinions and gender
What is discrete data
Data that is a whole number . The measurements in between have no meaning, such as shoe size, number of goals scored.
What is continuous data
Data that doesn’t have to be a whole number and can be a decimal. This could be something such as height and time
What is primary data
What are two advantages/disadvantages
Data collect by or from the person that will be using the data
Two advantages are that it is reliable and you know where it is from
Two disadvantages are it is time consuming and it’s expensive
What is secondary data
What are two advantages/disadvantages
Data that is collect by a different person that will use it
Two advantages are it is quicker and ready to analyse
Two disadvantages are it could be unreliable and you don’t know if it is complete or not
What is quantitative data
Numerical data such as time, age and height
How do you collect a sample
You can use postcodes address files, the electoral register, telephone directories, membership lists or you could number all the population and randomly pick the amount of numbers you need
What is a simple sample
A simple sample gives each member of the population an equal chance of being chosen. This can be achieved using random sampling e:g; number tables
What is a systematic sample
This is random sampling with a system. A starting point is chosen at random and at regular intervals. For example if you wanted 8 houses from a street of 120 houses you would do 120/8 = 15 so you would use ever 15th house
What is a cluster sample
In a cluster sample the units are chosen in clusters, close to each other. The population is divided in to clusters and some of these are chose at random. With in the clusters are then chosen by simple sampling or random sampling.
What is quota sampling
The section of the sample is chosen by the interviewer who has been given quotas to fill from specific sub groups in the population
What is stratified sampling
A stratified sample will give you a sample proportional to the size of the strata. We use the formula:
Number in strata / total number in population x sample size
