Unit 4 - Statistics Flashcards
Types of Quantitative data
- Discrete: Can be counted, has a finite value. (E.g. Number of cats in this house)
- Continuous: Has no finite value (E.g. Age, Height, Weight, Temperature)
Define Primary Data and its ads and dads
- Data collected ourselves.
- Ads: Being collected with specific purpose in mind. You know how the data was collected.
Define Secondary data and its ads and dads
- Data collected by someone else.
- Dads: Could have been collected for a different purpose. Cannot know how data was collected. Unable to know validity of data.
Define reliable data
If you repeat data collection, result will be similar.
Define sufficient data
Enough data is available to support your conclusions.
Define Target population
Population from where you want to take a sample.
Define Sampling frame
List of items/people from which you can take your sample.
Define Sampling unit
A single member from the sampling frame that is chosen to be sampled.
Define Sampling variable
The variable under investigation. The characteristic you want to measure from each sampling unit.
Define Sampling values
The possible values which the sampling variable can take.
Explain Random Sampling and its ads and dads
- How it works: In a sampling frame, each item has an identifying number. Use random number generator. Every sample has equal chance of being chosen.
- Ads: Bias free, easy, cheap, equal chance.
- Dads: Not suitable with large population size, sampling frame required.
Explain Stratified Sampling
- How it works: Population divided into groups (strata) and random sampling carried out in each group. Same proportion sampled from each group.
- Ads: Reflects population structure, guarantees proportional representation of groups within population
- Dads: Population must be clearly classified into distinct strata, selection within each stratum suffers same disadvantage as random sampling.
Explain Systematic Sampling and its ads and dads
- How it works: required elements are chosen at regular intervals in ordered list.
- Ads: Simple and quick to use, suitable for large samples/populations.
- Dads: Sampling frame required, can be bias.
Explain Quota sampling and its ads and dads
- How it works: Population is divided into groups according to characteristics. A quota of items/people in each group is set to try and reflect group’s proportion in the whole population. Interviewer selects actual sampling units.
- Ads: Allows small sample to still be representative of population, No sampling frame required, quick, easy, cheap.
- Dads: bias, dividing characteristics may be inaccurate, increasing scope increases time and cost, non-responses not recorded.