6.1 Sampling and 6.2 Presentation of Data Flashcards
Univariate analysis
Involves a single variable
Qualitative data
The qualities of something
Quantitative data
Numbers, anything that can be counted or measured
Discrete
Exact numerical values (fixed values)
Continuous
Measured values (within a range)
Population
All members of a defined group
Sample
A subset of the population
Convenience sampling
You select those members of the population who are most easily accessible or readily available
Simple random sampling
Each member of the population has an equal chance of being selected
Systematic sampling
You list the members of the population and select a sample according to a random point and a fixed point
Stratified sampling
The population is divided into smaller groups known as strata. The strata are formed based on members’ shared characteristics. You then choose a random sample from each stratum and put them together to form your sample
Quota sampling
This is like stratified sampling but involves taking a sample size from each stratum which in proportion to the size of the stratum
Frequency table
When you have raw data, a frequency table is an easy way to view and organize your data quickly. Data can then be put into a bar chart or histogram
Bar chart
Suitable for discrete dates. Bars have gaps
Histogram
Suitable for continuous data. Bars have no gaps