Statistics Chapter 1 - Data Collection Flashcards
Statistics 1
Population
the whole set of items that are of interest
Sample
a selection (subset) of data from the population
Census
collection of all data from a whole population
Sampling unit
individual units of a population
Sampling frame
a list of individually named or numbered sampling units
Simple random sampling
- use a random number generator or a lottery
- every sampling unit has an equal chance of being selected
Advantages of simple random sampling
- free of bias
- easy and cheap
- no prior knowledge of the population needed
- every unit has equal chance of being selected
Disadvantages of simple random sampling
- can be unrepresentative
- time-consuming
- sampling frame is required
Systematic sampling
- the required elements are chosen at set intervals
- the first element chosen is random
Advantages of systematic sampling
- simple and quick
- suitable for large populations
Disadvantages of systematic sampling
- sampling frame is required
- can introduce bias if sampling frame is not random
Stratified sampling
- separate population into mutually exclusive strata (categories)
- take a random sample from each, in the same proportion as the population (e.g. if there are 8 boys and 12 girls in a class, each strata must have a 2:3 ratio of boys to girls)
Advantage of stratified sampling
- each strata is represented in the sample
- more representative of the population
Disadvantages of stratified sampling
- need to separate into distinct strata
- same as simple random sampling within strata
Quota sampling
- similar to stratified but not random
- split into categories and collect data until each category has fulfilled quota (e.g., pick the first five most convenient people after walking into Sixth Form Zone)
Advantages of quota sampling
- still can be representative of population
- does not require sampling frame
Disadvantages of quota sampling
- can introduce bias
- requires population to be split into categories
- non-respondents are not recorded
Opportunity/convenience sampling
find the first n samples and stop
Advantage of opportunity/convenience sampling
easy and convenient
Disadvantages of opportunity/convenience sampling
- can be biased
- can be unrepresentative
Quantitative data
numerical data
Qualitative data
non-numerical data
Continuous data
can take any value (e.g., height, weight, density)
Discrete data
can only take certain values (e.g., shoe size, number of pets)